source: trunk/greenstone3-extensions/vishnu/src/vishnu/testvis/dendro/ClusterArray.java@ 8189

package vishnu.testvis.dendro;

import java.util.*;
import vishnu.testvis.object.*;
import vishnu.datablock.*;


public class ClusterArray
{
    Vector contents;
    
    ClusterArray(DataManager dm, Vector indices)
    {
    int i;
    
    contents = new Vector();

    // num_of_clusters = number of docs
    for (i = 0; i < indices.size(); i++)
        {
        int id = ((Integer)indices.elementAt(i)).intValue();
        Cluster c = new Cluster(i, null, null, null, 0, 1);
        Vector docIndexVector = new Vector();
        docIndexVector.addElement(new Integer(id));
        c.setDocVect(docIndexVector);
        
        Vector docObjVector = new Vector();
        DocObj docObj = dm.getDocObjAt(id);
        docObjVector.addElement(docObj);
        c.setDocObjVect(docObjVector);    
        
        DataBlock data = dm.getDataBlock();
        int[] wordFreqs = new int[data.words.length];
        for(int d=0; d < data.words.length; d++) wordFreqs[d]=0;
        
        SparseNode row = data.matrix.getRow(id);
        
        while( row!= null)
            {
            wordFreqs[row.getColumn()]++;
            row = row.getNext();
            }
        c.setWordFreq(wordFreqs);
        
            contents.addElement(c);
        
        // i.e. id = i, similarity between kids = 0, #items = 1
        }
    }
    
    
}