Example usage for org.apache.commons.math.linear OpenMapRealMatrix OpenMapRealMatrix

Introduction

In this page you can find the example usage for org.apache.commons.math.linear OpenMapRealMatrix OpenMapRealMatrix.

Prototype

public OpenMapRealMatrix(int rowDimension, int columnDimension) 

Source Link

Document

Build a sparse matrix with the supplied row and column dimensions.

Usage

From source file:net.sf.jtmt.similarity.matrix.AbstractSimilarity.java

public RealMatrix transform(RealMatrix termDocumentMatrix) {
    int numDocs = termDocumentMatrix.getColumnDimension();
    RealMatrix similarityMatrix = new OpenMapRealMatrix(numDocs, numDocs);
    for (int i = 0; i < numDocs; i++) {
        RealMatrix sourceDocMatrix = termDocumentMatrix.getSubMatrix(0,
                termDocumentMatrix.getRowDimension() - 1, i, i);
        for (int j = 0; j < numDocs; j++) {
            RealMatrix targetDocMatrix = termDocumentMatrix.getSubMatrix(0,
                    termDocumentMatrix.getRowDimension() - 1, j, j);
            similarityMatrix.setEntry(i, j, computeSimilarity(sourceDocMatrix, targetDocMatrix));
        }//from   w ww .ja  va2  s. c o m
    }
    return similarityMatrix;
}

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From source file:net.sf.jtmt.similarity.matrix.CosineSimilarity.java

/**
 * Dot./* w w  w. j a v  a2s.c  o  m*/
 *
 * @param source the source
 * @param target the target
 * @return the double
 */
private double dot(RealMatrix source, RealMatrix target) {
    int maxRows = source.getRowDimension();
    int maxCols = source.getColumnDimension();
    RealMatrix dotProduct = new OpenMapRealMatrix(maxRows, maxCols);
    for (int row = 0; row < maxRows; row++) {
        for (int col = 0; col < maxCols; col++) {
            dotProduct.setEntry(row, col, source.getEntry(row, col) * target.getEntry(row, col));
        }
    }
    return dotProduct.getNorm();
}

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From source file:net.sf.jtmt.similarity.matrix.Searcher.java

/**
 * Gets the query matrix.//from w ww  .ja  va  2s  .  co  m
 *
 * @param query the query
 * @return the query matrix
 */
private RealMatrix getQueryMatrix(String query) {
    RealMatrix queryMatrix = new OpenMapRealMatrix(terms.size(), 1);
    String[] queryTerms = query.split("\\s+");
    for (String queryTerm : queryTerms) {
        int termIdx = 0;
        for (String term : terms) {
            if (queryTerm.equalsIgnoreCase(term)) {
                queryMatrix.setEntry(termIdx, 0, 1.0D);
            }
            termIdx++;
        }
    }
    queryMatrix = queryMatrix.scalarMultiply(1 / queryMatrix.getNorm());
    return queryMatrix;
}

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From source file:net.sf.jtmt.clustering.Cluster.java

/**
 * Gets the centroid.//from  ww  w  .  j  a v  a  2 s . c  o  m
 *
 * @return the centroid
 */
public RealMatrix getCentroid() {
    if (docs.size() == 0) {
        return null;
    }
    RealMatrix d = docs.get(docNames.get(0));
    centroid = new OpenMapRealMatrix(d.getRowDimension(), d.getColumnDimension());
    for (String docName : docs.keySet()) {
        RealMatrix docMatrix = docs.get(docName);
        centroid = centroid.add(docMatrix);
    }
    centroid = centroid.scalarMultiply(1.0D / docs.size());
    return centroid;
}

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From source file:org.interpss.core.sparse.UCTE2000SparseMatrixCasesTest.java

private SparseRealMatrix sparseMatrix2Ary(SparseEqnMatrix2x2 eqn) {
    int n = eqn.getDimension();
    System.out.println("J-matrix Demension:" + n);
    //RealMatrix m = new Array2DRowRealMatrix( n, n );
    SparseRealMatrix m = new OpenMapRealMatrix(n, n);
    int n_2 = n / 2;
    for (int i = 0; i < n_2; i++) { // index 1-N
        for (int j = 0; j < n_2; j++) {//index 1-N
            Matrix_xy mxy = eqn.getA(i + 1, j + 1);
            if (mxy.xx != 0.0)
                m.setEntry(2 * i, 2 * j, mxy.xx);
            if (mxy.xy != 0.0)
                m.setEntry(2 * i, 2 * j + 1, mxy.xy);
            if (mxy.yx != 0.0)
                m.setEntry(2 * i + 1, 2 * j, mxy.yx);
            if (mxy.yy != 0.0)
                m.setEntry(2 * i + 1, 2 * j + 1, mxy.yy);
        }//w w  w .  jav  a2 s.  co  m
    }
    return m;
}

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