LISTSERV mailing list manager LISTSERV 16.5

Help for CODE4LIB Archives


CODE4LIB Archives

CODE4LIB Archives


CODE4LIB@LISTS.CLIR.ORG


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

CODE4LIB Home

CODE4LIB Home

CODE4LIB  October 2017

CODE4LIB October 2017

Subject:

Re: clustering techniques for normalizing bibliographic data

From:

Terry Reese <[log in to unmask]>

Reply-To:

Code for Libraries <[log in to unmask]>

Date:

Wed, 25 Oct 2017 12:15:15 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (1085 lines)

Unfortunately -- not in a language you likely would want to use.  But I've
been working on doing this in MarcEdit 7, and to do it, I found that I got
a lot of mileage using the Levenshtein distance algorithm (which I
prefer).  You can usually find these in a variety of languages.  The
approach that I took, since performance is a consideration, is to create a
sorted list for the data that I wanted to work with.  I then used a
list<int,object[]> where the object was a structure that stored an internal
record_id, a match label (this is normalized data), the length of the match
label (necessary for the distance algorithm), a display label, and a
cluster count.  I then had a secondary List<int,string> that stored the int
from primary storage list, and the first element character.  This allows
for a more efficient method of processing large data as you process data in
the sorted list, but then can jump backwards to check for inversion. It's
not perfect, but it allows for acceptable processing within MarcEdit of
recordsets around a million or more once you have the data to be
processed.  I do that by breaking data down and preprocessing it in an
SQLite database -- that way I can access large batches of marc data quickly
and have some of the grouping and sorting done for me.

I'm not sure this helps at all (since its comingled with the event code
that is generated with the results data) -- but here's the code I'm using
in C# for the data (I'll assume you have your own fuzzy matching
algorithms).

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Runtime.InteropServices;


namespace MarcEdit
{


    public partial class frmClustering : Form
    {


        private enum CLUSTERING_ALGORITHMS
{composite=0,dice=1,levenshtein=2 }

        private string pInternal_Cluster_Database = "";
        private string pSourceFile = "";
        internal meEditor pCaller = null;
        private System.Collections.Hashtable virtualList = new
System.Collections.Hashtable();
        private int icheckCount = 0;
        private Dictionary<int, Dictionary<string,string>> saved_changes =
null;
        private string[] ptag_list;

        public frmClustering()
        {
            InitializeComponent();
        }

        private void textBoxCClass4_TextChanged(object sender, EventArgs e)
        {

        }

        private void pictureBox2_Click(object sender, EventArgs e)
        {

        }

        private void groupBox2_Enter(object sender, EventArgs e)
        {

        }

        private void cmdImport_Click(object sender, EventArgs e)
        {
            pInternal_Cluster_Database = cglobal.mglobal.GenerateTempFile();


            if (pCaller != null)
            {
                pSourceFile = cglobal.mglobal.GenerateTempFile();
                pCaller.SaveFile(pSourceFile, false, false);

            }
            else
            {
                pSourceFile = txtSource.Text;
            }

            string sSource = pSourceFile;
            string[] indexed_fields;

            if (rdControlData.Checked == true)
            {
                indexed_fields = new string[] { "100", "110", "111", "130",
"600", "610", "611", "630", "650", "651", "653", "654", "655", "700",
"710", "711", "730" };
            } else if (rdCustom.Checked == true)
            {
                indexed_fields = txtFields.Text.Split(",".ToCharArray());
            } else
            {
                indexed_fields = new string[] { "all" };
            }


            lbStatus.Text = "Indexing File...please wait.";
            Application.DoEvents();

            int stype = 0;
            byte[] resource = null;
            string name = "MarcEdit.cluster_api.dll";

            if (cglobal.IsWindows == false)
            {
                name = "MarcEdit.cluster_api_mono.dll";
            }

            try
            {
                using (System.IO.Stream stream =
System.Reflection.Assembly.GetExecutingAssembly().GetManifestResourceStream(name))
                {
                    if (stream != null)
                    {
                        resource = new byte[stream.Length];
                        stream.Read(resource, 0, (int)stream.Length);
                    }
                }

                System.Reflection.Assembly local_api =
System.Reflection.Assembly.Load(resource);
                //Loading An Assembly From desired path


                //Getting Assembly Types (i.e. classes) here we have only 1
class
                Type clsqlite = local_api.GetType("cluster_api.clsqlite");
                object SqliteInstance = Activator.CreateInstance(clsqlite);
                // Will hold the Fully Qualified Name of the Assembly i.e.
Namespace.Class
                //string AssemblyName = string.Empty;
                // Will be holding the Full path of the Assembly
                //string AssemblyPath = string.Empty;

                bool found_dependency = false;
                //Creating Full Name of Assembly i.e. Namespace.ClassName
                //for (int zz = 0; zz < TypesInAssembly.Length; zz++)
                //{


                //found_dependency = true;
                //AssemblyName = Bib_Actions.Namespace + "." +
Bib_Actions.Name;
                //Getting Methods in Assembly Types
                //System.Reflection.MethodInfo[] MethodsCollection =
TypesInAssembly[zz].GetMethods();
                //System.Reflection.PropertyInfo[] PropertiesCollection =
TypesInAssembly[zz].GetProperties();

                //Type pType = TypesInAssembly[zz].GetType();

                System.Reflection.PropertyInfo prop =
clsqlite.GetProperty("global_connection_string");
                //prop.GetSetMethod(true).Invoke(Bib_Actions, new[] {
HostName });
                //prop.GetSetMethod(true).Invoke(local_api, new string[] {
HostName });

                //System.Windows.Forms.MessageBox.Show(HostName);
                prop.SetValue(SqliteInstance, pInternal_Cluster_Database,
null);

                System.Reflection.PropertyInfo pTitle =
clsqlite.GetProperty("TitleTag");
                pTitle.SetValue(SqliteInstance, "245$a", null);



                clsqlite.InvokeMember("DoSQLite",
                    System.Reflection.BindingFlags.InvokeMethod
                    | System.Reflection.BindingFlags.Instance
                    | System.Reflection.BindingFlags.Public,
                    null, SqliteInstance, new object[] { sSource,
indexed_fields });

                found_dependency = true;
                object ErrorMessage =
clsqlite.GetProperty("LastError").GetValue(SqliteInstance, null);


                if (((string)ErrorMessage).Length > 0)
                {

System.Windows.Forms.MessageBox.Show((string)ErrorMessage);
                    return;
                }

                cmbClusterField.SelectedIndex = 0;
                cmbclusteringalgorithm.SelectedIndex = 1;
                cmbClusterSize.SelectedIndex = 1;
                cmbSortBy.SelectedIndex = 0;

                PGenerate.BringToFront();
                cmbClusterField.Focus();
                Application.DoEvents();
                //break;
                //}
                //}

                if (found_dependency == false)
                {
                    cglobal.mglobal.RaiseError("Unabled to load dependency
files...stopping.");
                    return;
                }
            }
            catch (System.Exception general_error)
            {
                cglobal.mglobal.RaiseError("Error Raised: \n\n" +
general_error.ToString());

            }
        }

        private void cmdGenerateCluster_Click(object sender, EventArgs e)
        {


            byte[] resource = null;
            string name = "MarcEdit.cluster_api.dll";

            if (cglobal.IsWindows == false)
            {
                name = "MarcEdit.cluster_api_mono.dll";
            }
            //try
            //{

            string[] search_fields;

            switch (cmbClusterField.Text.ToLower())
            {
                case "names (1xx, 7xx)":

                    search_fields = new string[] { "100", "110", "111",
"130", "700", "710", "711", "730" };
                    break;
                case "subjects (6xx)":
                    search_fields = new string[] { "600", "610", "611",
"630", "650", "651", "653", "654", "655" };
                    break;
                default:
                    //other has been defined.
                    search_fields =
cmbClusterField.Text.Split(",".ToCharArray());
                    break;
            }

            ptag_list = search_fields;

            CLUSTERING_ALGORITHMS alg = CLUSTERING_ALGORITHMS.levenshtein;
            switch (cmbclusteringalgorithm.SelectedIndex)
            {
                case 0:
                    alg = CLUSTERING_ALGORITHMS.composite;
                    break;
                case 1:
                    alg =
CLUSTERING_ALGORITHMS.levenshtein;
                    cmbclusteringalgorithm.SelectedIndex = 1;
                    break;
            }

            cmbAlg.SelectedIndex = cmbclusteringalgorithm.SelectedIndex;

            lbStatus2.Text = "Extracting data...please wait.";
            Application.DoEvents();

            using (System.IO.Stream stream =
System.Reflection.Assembly.GetExecutingAssembly().GetManifestResourceStream(name))
            {
                if (stream != null)
                {
                    resource = new byte[stream.Length];
                    stream.Read(resource, 0, (int)stream.Length);
                }
            }

            System.Reflection.Assembly local_api =
System.Reflection.Assembly.Load(resource);
            //Loading An Assembly From desired path


            //Getting Assembly Types (i.e. classes) here we have only 1
class
            Type clsqlite = local_api.GetType("cluster_api.clsqlite");
            object SqliteInstance = Activator.CreateInstance(clsqlite);
            // Will hold the Fully Qualified Name of the Assembly i.e.
Namespace.Class
            //string AssemblyName = string.Empty;
            // Will be holding the Full path of the Assembly
            //string AssemblyPath = string.Empty;

            bool found_dependency = false;
            //Creating Full Name of Assembly i.e. Namespace.ClassName
            //for (int zz = 0; zz < TypesInAssembly.Length; zz++)
            //{


            //found_dependency = true;
            //AssemblyName = Bib_Actions.Namespace + "." + Bib_Actions.Name;
            //Getting Methods in Assembly Types
            //System.Reflection.MethodInfo[] MethodsCollection =
TypesInAssembly[zz].GetMethods();
            //System.Reflection.PropertyInfo[] PropertiesCollection =
TypesInAssembly[zz].GetProperties();

            //Type pType = TypesInAssembly[zz].GetType();

            System.Reflection.PropertyInfo prop =
clsqlite.GetProperty("global_connection_string");
            //prop.GetSetMethod(true).Invoke(Bib_Actions, new[] { HostName
});
            //prop.GetSetMethod(true).Invoke(local_api, new string[] {
HostName });

            //System.Windows.Forms.MessageBox.Show(HostName);
            prop.SetValue(SqliteInstance, pInternal_Cluster_Database, null);

            System.Reflection.PropertyInfo pTitle =
clsqlite.GetProperty("TitleTag");
            pTitle.SetValue(SqliteInstance, "245$a", null);


            string[] recs = (string[])clsqlite.InvokeMember("DoSQLiteQuery",
                System.Reflection.BindingFlags.InvokeMethod
                | System.Reflection.BindingFlags.Instance
                | System.Reflection.BindingFlags.Public,
                null, SqliteInstance, new object[] { search_fields });

            found_dependency = true;
            object ErrorMessage =
clsqlite.GetProperty("LastError").GetValue(SqliteInstance, null);


            if (((string)ErrorMessage).Length > 0)
            {
                System.Windows.Forms.MessageBox.Show((string)ErrorMessage);
                return;
            }

            tree_cluster.Nodes.Clear();
            lbStatus2.Text = "Generating Clusters...Please Wait";

            Application.DoEvents();

            if (recs.Length == 0)
            {
                MessageBox.Show("none");
            }
            else
            {
                System.Collections.ArrayList master_list = new
System.Collections.ArrayList();
                //System.Collections.Generic.Dictionary<int, string>
letter_list = new Dictionary<int, string>();
                cluster_data_structure objCluster = new
cluster_data_structure();
                int istart = 0;
                int recs_count = recs.Count();
                for (int yy=0; yy < recs_count; yy++)
                {
                    string r = recs[yy];

                    bool bfound = false;
                    string[] parts = r.Split("\t".ToCharArray());
                    string search_label = ExtractClusterString(parts[0],
new char[] { 'a' });
                    int master_list_count = master_list.Count;

                    for (int x = istart; x < master_list_count; x++)
                    {

                        System.Collections.ArrayList t =
((System.Collections.ArrayList)master_list[x]);
                        if (t.Count > 0)
                        {
                            cluster_data_structure tmp_s =
(cluster_data_structure)t[0];
                            int fuzzy_coeficent = (tmp_s.StringLength -
(int)(tmp_s.StringLength * 0.90));
                            //MessageBox.Show(search_label + "\n" +
tmp_s.MatchLabel + "\n" +
                            //
meedit60.LevenshteinDistanceExtensions.LevenshteinDistance(search_label,
tmp_s.MatchLabel, false).ToString());


                            if (tmp_s.StringLength - search_label.Length <=
fuzzy_coeficent)
                            {
                                if (alg ==
CLUSTERING_ALGORITHMS.levenshtein)
                                {
                                    if
(meedit60.LevenshteinDistanceExtensions.LevenshteinDistance(search_label,
                                        tmp_s.MatchLabel, false) <=
fuzzy_coeficent)
                                    {
                                        objCluster = new
cluster_data_structure();
                                        objCluster.StringLength =
search_label.Length;
                                        objCluster.Label = parts[0];
                                        objCluster.MatchLabel =
search_label;
                                        objCluster.rec_ids = parts[2];
                                        objCluster.ClusterCount = parts[1];

                                        t.Add(objCluster);
                                        master_list[x] = t;
                                        istart = x;
                                        bfound = true;

                                    }
                                    else
                                    {
                                        continue;
                                    }
                                }
                                else if (alg ==
CLUSTERING_ALGORITHMS.composite)
                                {
                                    if
(meedit60.StringExtensions.FuzzyMatch(search_label, tmp_s.MatchLabel) >
0.97)
                                    {
                                        objCluster = new
cluster_data_structure();
                                        objCluster.StringLength =
search_label.Length;
                                        objCluster.Label = parts[0];
                                        objCluster.MatchLabel =
search_label;
                                        objCluster.rec_ids = parts[2];
                                        objCluster.ClusterCount = parts[1];

                                        t.Add(objCluster);
                                        master_list[x] = t;
                                        istart = x;
                                        bfound = true;
                                    }
                                    else
                                    {
                                        continue;
                                    }
                                }
                            }
                        }
                        if (bfound == true)
                        {
                            break;
                        }
                    }
                    if (!bfound)
                    {
                        istart = master_list_count;
                        System.Collections.ArrayList tmp_list = new
System.Collections.ArrayList();
                        objCluster = new cluster_data_structure();
                        objCluster.StringLength = search_label.Length;
                        objCluster.Label = parts[0];
                        objCluster.MatchLabel = search_label;
                        objCluster.rec_ids = parts[2];
                        objCluster.ClusterCount = parts[1];

                        tmp_list.Add(objCluster);
                        master_list.Add(tmp_list);

                    }

                }

                int cluster_size = 1;
                switch (cmbClusterSize.SelectedIndex)
                {
                    case 0:
                        cluster_size = -1;
                        break;
                    case 1:
                        cluster_size = 1;
                        break;
                    case 2:
                        cluster_size = 5;
                        break;
                    default:
                        cluster_size = 1;
                        break;

                }
                bool bflip = false;
                List<TreeNode> parent_cluster_nodes = new List<TreeNode>();
                //MessageBox.Show("adding to ui");
                tree_cluster.BeginUpdate();
                TreeNode tmp_node = new TreeNode();

                foreach (object l in master_list)
                {
                    //MessageBox.Show("here");
                    System.Collections.ArrayList t =
(System.Collections.ArrayList)l;

                    int node_index = 1;
                    string guid = System.Guid.NewGuid().ToString();
                    System.Windows.Forms.TreeNode parent_node = new
TreeNode();
                    List<TreeNode> clustered_nodes = new List<TreeNode>();
                    if (t.Count > cluster_size)
                    {
                        foreach (cluster_data_structure tt in t)
                        {


                            if (node_index == 1)
                            {
                                parent_node.Text = tt.Label;
                                parent_node.Tag = node_index;
                                TreeNode virt_node = new TreeNode();
                                virt_node.Text = guid;
                                virt_node.Name =
"VIRT";
                                parent_node.Nodes.Add(virt_node);
                                tmp_node = new TreeNode(tt.ClusterCount +
": " + tt.Label);
                                tmp_node.Tag = tt.rec_ids;

                                clustered_nodes.Add(tmp_node);
                                //parent_node.Nodes.Add(tt.ClusterCount +
": " + tt.Label);
                            }
                            else
                            {
                                //parent_node.Nodes.Add(tt.ClusterCount +
": " + tt.Label);
                                tmp_node = new TreeNode(tt.ClusterCount +
": " + tt.Label);
                                tmp_node.Tag = tt.rec_ids;
                                clustered_nodes.Add(tmp_node);
                                parent_node.Tag = node_index;
                            }
                            node_index++;
                        }

                        if (cmbSortBy.SelectedIndex == 0)
                        {
                            parent_node.Text = "(" +
parent_node.Tag.ToString() + ") -- " + parent_node.Text;
                        } else
                        {
                            parent_node.Text = parent_node.Text + " -- (" +
parent_node.Tag.ToString() + ")";
                        }
                        //if (bflip == false)
                        //{
                        //parent_node.BackColor = Color.YellowGreen;
                        //tree_cluster.Nodes.Add(parent_node);
                        virtualList.Add(guid, clustered_nodes);
                        parent_cluster_nodes.Add(parent_node);
                        //bflip = true;
                        //}
                        //else
                        //{
                        //    //parent_node.BackColor = Color.White;
                        //    //tree_cluster.Nodes.Add(parent_node);
                        //}
                    }
                }
                //tree_cluster.Sort();



                tree_cluster.Nodes.AddRange(parent_cluster_nodes.ToArray());
                tree_cluster.TreeViewNodeSorter = new AlphanumComparator();
                tree_cluster.EndUpdate();


                tree_cluster.Invalidate();
                Application.DoEvents();
            }
            PClusteredData.BringToFront();
            //break;
            //}
            //}

            if (found_dependency == false)
            {
                cglobal.mglobal.RaiseError("Unabled to load dependency
files...stopping.");
                return;
            }
            //}
            //catch (System.Exception general_error)
            //{
            //    cglobal.mglobal.RaiseError("Unabled to load dependency
files...stopping.\n\n" + general_error.ToString());

            //}
        }

        private void frmClustering_Load(object sender, EventArgs e)
        {
            PStart.BringToFront();
            cglobal.mglobal.SizeLabels(this);
            if (pCaller == null)
            {
                txtSource.Text = "";
                txtSource.Enabled = true;

            }

            //if (cglobal.IsWindows)
            //{
            //    SendMessage(new HandleRef(null, tree_cluster.Handle),
            //            TVM_SETEXTENDEDSTYLE,
            //            new IntPtr(TVS_EX_MULTISELECT),
            //            new IntPtr(TVS_EX_MULTISELECT));
            //}
        }

        private string ExtractClusterString(string s, char[] subfields)
        {
            string[] parts = s.Split("$".ToCharArray());
            string tmp_string = "";
            int parts_count = parts.Count();
            for (int x = 1; x < parts_count; x++)
            {
                if (Array.IndexOf(subfields, parts[x][0]) > -1)
                {
                    tmp_string += "$" + parts[x].Trim("
.-,?!".ToCharArray());
                }
            }
            return tmp_string;
        }

        private void rdCustom_CheckedChanged(object sender, EventArgs e)
        {
            if (rdCustom.Checked == true)
            {
                txtFields.Visible = true;
            }
            else
            {
                txtFields.Visible = false;
            }
        }

        private void frmClustering_FormClosing(object sender,
FormClosingEventArgs e)
        {
            tree_cluster.Dispose();
            this.Dispose(true);
            Application.DoEvents();

        }

        private void tree_cluster_BeforeExpand(object sender,
TreeViewCancelEventArgs e)
        {
            if (e.Node.Nodes.ContainsKey("VIRT"))
            {
                try
                {
                    // Do some work to load data.
                    // Note this may take a while and could
                    // be annoying to your user.
                    // See asynchronous version below.

                    // Clear out all of the children
                    string guid = e.Node.Nodes[0].Text;
                    e.Node.Nodes.Clear();

                    // Load the new children into the treeview.

e.Node.Nodes.AddRange(((List<TreeNode>)virtualList[guid]).ToArray());
                }
                catch
                {
                    // Error occured, reset to a known state
                    e.Node.Nodes.Clear();
                    MessageBox.Show("error loading virtual nodes");
                }
            }
        }

        private void lnkClose_LinkClicked(object sender,
LinkLabelLinkClickedEventArgs e)
        {
            this.Close();
        }

        private void lnkEditCluster_LinkClicked(object sender,
LinkLabelLinkClickedEventArgs e)
        {
            meedit60.meedit60 objE = new meedit60.meedit60();
            objE.FileEncoding = pCaller.pEncoding;
            objE.LogFileHandle = pCaller.logfilehandle;
            int lCount = 0;

            lbStatus3.Text = "Processing Changes....Please wait";
            Application.DoEvents();

            string t = objE.ClusterReplace(pSourceFile, ptag_list,
saved_changes, true, out lCount);

            //System.Windows.Forms.Clipboard.SetText(t);
            cglobal.mglobal.RaiseMessage(lCount.ToString() + " changes have
been made.");
            if (pCaller != null)
            {
                cglobal.mglobal.UpdateEditor(pCaller, pSourceFile, t,
lCount);
            }

            //pCaller.LoadFile(t, true, true, true);
            this.Close();
        }

        private void tree_cluster_AfterCheck(object sender,
TreeViewEventArgs e)
        {
            if (e.Node.Checked == true)
            {
                icheckCount++;
                txtEditValue.Visible = true;
                lnkAddCriteria.Visible = true;
                if (e.Node.Nodes.Count > 0)
                {
                    e.Node.Expand();
                    for (int x=0; x<e.Node.Nodes.Count; x++)
                    {
                        e.Node.Nodes[x].Checked = true;
                    }
                }
            } else
            {
                icheckCount--;
                if (icheckCount <=0)
                {
                    txtEditValue.Visible = false;
                    lnkAddCriteria.Visible = false;
                }
                if (e.Node.Nodes.Count > 0)
                {
                    for (int x = 0; x < e.Node.Nodes.Count; x++)
                    {
                        e.Node.Nodes[x].Checked = false;
                    }
                }
            }
        }

        private void tree_cluster_AfterSelect(object sender,
TreeViewEventArgs e)
        {
            if (e.Node.IsSelected)
            {
                string t = e.Node.Text;
                if (t.IndexOf("$")>-1)
                {
                    t = t.Substring(t.IndexOf("$"));
                }
                txtEditValue.Text = t;
            }
        }

        private void lnkAddCriteria_LinkClicked(object sender,
LinkLabelLinkClickedEventArgs e)
        {

            if (icheckCount >= 1)
            {
                int node_count = tree_cluster.Nodes.Count;
                System.Collections.ArrayList first_level = new
System.Collections.ArrayList();
                System.Collections.ArrayList second_level = new
System.Collections.ArrayList();


                for (int x=0; x < node_count; x++)
                {
                    if (tree_cluster.Nodes[x].Checked)
                    {
                        foreach (TreeNode t_lower in
tree_cluster.Nodes[x].Nodes)
                        {
                            Add2SavedList((string)t_lower.Tag,
t_lower.Text, txtEditValue.Text);
                            //tmp_string += (string)t_lower.Tag + "\n";
                        }
                        first_level.Add(x);
                    }
                    else if (tree_cluster.Nodes[x].IsExpanded)
                    {
                        second_level = new System.Collections.ArrayList();
                        for(int y=0; y<tree_cluster.Nodes[x].Nodes.Count;
y++)
                        {
                            if (tree_cluster.Nodes[x].Nodes[y].Checked)
                            {

Add2SavedList((string)tree_cluster.Nodes[x].Nodes[y].Tag,
tree_cluster.Nodes[x].Nodes[y].Text, txtEditValue.Text);
                                //tmp_string += (string)t_lower.Tag + ",";
                                second_level.Add(y);
                            }
                        }

                        for (int i = second_level.Count -1; i >= 0; i--)
                        {

tree_cluster.Nodes[x].Nodes.RemoveAt((int)second_level[i]);
                        }
                    }
                    //tmp_string = tmp_string.TrimEnd(", ".ToCharArray());
                }

                if (first_level.Count > 0)
                {
                    for (int i = first_level.Count - 1; i >= 0; i--)
                    {
                        tree_cluster.Nodes.RemoveAt((int)first_level[i]);
                    }
                }
                txtEditValue.Text = "";
                lnkEditCluster.Enabled = true;

            }
            else
            {
                cglobal.mglobal.RaiseError("No nodes have been selected.");
            }
        }

        private void Add2SavedList(string sid, string sfind, string
sreplace)
        {
            if (sfind.IndexOf(": ") > -1)
            {
                sfind = sfind.Substring(sfind.IndexOf(":") + 1).TrimStart();
            }
            string[] arr_keys = sid.Split(",".ToCharArray());
            foreach (string a in arr_keys)
            {
                if (saved_changes == null)
                {
                    saved_changes = new Dictionary<int, Dictionary<string,
string>>();
                }

                if (saved_changes.ContainsKey(System.Convert.ToInt32(a)))
                {
                    ((Dictionary<string,
string>)saved_changes[System.Convert.ToInt32(a)]).Add(sfind, sreplace);
                } else
                {
                    Dictionary<string, string> t = new Dictionary<string,
string>();
                    t.Add(sfind, sreplace);
                    saved_changes.Add(System.Convert.ToInt32(a), t);
                }
            }
        }

        private void cmdOpen_Click(object sender, EventArgs e)
        {
            string sPath = "";
            cglobal.cxmlini.GetSettings(cglobal.mglobal.XMLPath(),
"settings", "open", cglobal.mglobal.UserDataPath(), ref sPath);
            string sfilename = cglobal.mglobal.OpenFile(sPath,
mglobal.M_FILTER, "*.mrk", cglobal.cxmlini.LoadDictionary(cglobal.objDoc,
"global", "tooltip/open", "Open File"));
            if (sfilename.Length != 0) { txtSource.Text = sfilename; }
        }

        private void cmbAlg_SelectedIndexChanged(object sender, EventArgs e)
        {
            if (this.Controls[0] == PClusteredData)
            {
                PGenerate.BringToFront();
                Application.DoEvents();
                cmbclusteringalgorithm.SelectedIndex = cmbAlg.SelectedIndex;
                cmdGenerateCluster_Click(this, new EventArgs());
            }
        }
    }

    class cluster_data_structure
    {
        private int plength = 0;
        private string plabel = "";
        private string pmatch_label = "";
        private string pcount = "";
        private string prec_ids = "";


        internal string rec_ids
        {
            get { return prec_ids; }
            set { prec_ids = value; }
        }
        internal int StringLength
        {
            get { return plength; }
            set { plength = value; }
        }

        internal string MatchLabel
        {
            get { return pmatch_label; }
            set { pmatch_label = value; }
        }
        internal string Label
        {
            get { return plabel; }
            set { plabel = value; }
        }

        internal string ClusterCount
        {
            get { return pcount; }
            set { pcount = value; }
        }

    }

    class AlphanumComparator : System.Collections.IComparer
    {
        private enum ChunkType { Alphanumeric, Numeric };
        private bool InChunk(char ch, char otherCh)
        {
            ChunkType type = ChunkType.Alphanumeric;

            if (char.IsDigit(otherCh))
            {
                type = ChunkType.Numeric;
            }

            if ((type == ChunkType.Alphanumeric && char.IsDigit(ch))
                || (type == ChunkType.Numeric && !char.IsDigit(ch)))
            {
                return false;
            }

            return true;
        }

        public int Compare(object x, object y)
        {
            TreeNode s1 = y as TreeNode;
            TreeNode s2 = x as TreeNode;

            //String s1 = x as string;
            //String s2 = y as string;
            if (s1 == null || s2 == null)
            {
                return 0;
            }

            int thisMarker = 0, thisNumericChunk = 0;
            int thatMarker = 0, thatNumericChunk = 0;

            while ((thisMarker < s1.Text.Length) || (thatMarker <
s2.Text.Length))
            {
                if (thisMarker >= s1.Text.Length)
                {
                    return -1;
                }
                else if (thatMarker >= s2.Text.Length)
                {
                    return 1;
                }
                char thisCh = s1.Text[thisMarker];
                char thatCh = s2.Text[thatMarker];

                StringBuilder thisChunk = new StringBuilder();
                StringBuilder thatChunk = new StringBuilder();

                while ((thisMarker < s1.Text.Length) && (thisChunk.Length
== 0 || InChunk(thisCh, thisChunk[0])))
                {
                    thisChunk.Append(thisCh);
                    thisMarker++;

                    if (thisMarker < s1.Text.Length)
                    {
                        thisCh = s1.Text[thisMarker];
                    }
                }

                while ((thatMarker < s2.Text.Length) && (thatChunk.Length
== 0 || InChunk(thatCh, thatChunk[0])))
                {
                    thatChunk.Append(thatCh);
                    thatMarker++;

                    if (thatMarker < s2.Text.Length)
                    {
                        thatCh = s2.Text[thatMarker];
                    }
                }

                int result = 0;
                // If both chunks contain numeric characters, sort them
numerically
                if (char.IsDigit(thisChunk[0]) &&
char.IsDigit(thatChunk[0]))
                {
                    thisNumericChunk =
Convert.ToInt32(thisChunk.ToString());
                    thatNumericChunk =
Convert.ToInt32(thatChunk.ToString());

                    if (thisNumericChunk < thatNumericChunk)
                    {
                        result = -1;
                    }

                    if (thisNumericChunk > thatNumericChunk)
                    {
                        result = 1;
                    }
                }
                else
                {
                    result =
thisChunk.ToString().CompareTo(thatChunk.ToString());
                }

                if (result != 0)
                {
                    return result;
                }
            }

            return 0;
        }
    }
}



On Wed, Oct 25, 2017 at 11:57 AM, Eric Lease Morgan <[log in to unmask]> wrote:

> Has anybody here played with any clustering techniques for normalizing
> bibliographic data?
>
> My bibliographic data is fraught with inconsistencies. For example, a
> publisher’s name may be recorded one way, another way, or a third way. The
> same goes for things like publisher place: South Bend; South Bend, IN;
> South Bend, Ind. And then there is the ISBD punctuation that is sometimes
> applied and sometimes not. All of these inconsistencies make indexing &
> faceted browsing more difficult than it needs to be.
>
> OpenRefine is a really good program for finding these inconsistencies and
> then normalizing them. OpenRefine calls this process “clustering”, and it
> points to a nice page describing the various clustering processes. [1] Some
> of the techniques included “fingerprinting” and calculating “nearest
> neighbors”. Unfortunately, OpenRefine is not really programable, and I’d
> like to automate much of this process.
>
> Does anybody here have any experience automating the process of normalize
> bibliographic (MARC) data?
>
> [1] about clustering - http://bit.ly/2izQarE
>
> —
> Eric Morgan
>

Top of Message | Previous Page | Permalink

Advanced Options


Options

Log In

Log In

Get Password

Get Password


Search Archives

Search Archives


Subscribe or Unsubscribe

Subscribe or Unsubscribe


Archives

April 2024
March 2024
February 2024
January 2024
December 2023
November 2023
October 2023
September 2023
August 2023
July 2023
June 2023
May 2023
April 2023
March 2023
February 2023
January 2023
December 2022
November 2022
October 2022
September 2022
August 2022
July 2022
June 2022
May 2022
April 2022
March 2022
February 2022
January 2022
December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
May 2021
April 2021
March 2021
February 2021
January 2021
December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
December 2006
November 2006
October 2006
September 2006
August 2006
July 2006
June 2006
May 2006
April 2006
March 2006
February 2006
January 2006
December 2005
November 2005
October 2005
September 2005
August 2005
July 2005
June 2005
May 2005
April 2005
March 2005
February 2005
January 2005
December 2004
November 2004
October 2004
September 2004
August 2004
July 2004
June 2004
May 2004
April 2004
March 2004
February 2004
January 2004
December 2003
November 2003

ATOM RSS1 RSS2



LISTS.CLIR.ORG

CataList Email List Search Powered by the LISTSERV Email List Manager