Example usage for weka.core.matrix Matrix det

Introduction

In this page you can find the example usage for weka.core.matrix Matrix det.

Prototype

public double det() 

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Matrix determinant

Usage

From source file:org.knime.knip.suise.node.boundarymodel.BoundaryModel.java

License:Open Source License

private double calcLMDL(double epsilon) {

    // create sample matrix
    Matrix V = new Matrix(m_contourData.numFeatures(), m_contourData.numVectors());

    double[] vec;
    for (int i = 0; i < m_contourData.numVectors(); i++) {
        vec = m_contourData.getVector(i);
        for (int j = 0; j < vec.length; j++) {
            V.set(j, i, vec[j]);/*from w  w  w  . ja  v a  2s .c  om*/
        }
    }

    // estimate of the covariance matrix
    Matrix W = V.times(V.transpose());

    W.times(m_contourData.numFeatures() / (epsilon * epsilon * m_contourData.numVectors()));

    W = Matrix.identity(m_contourData.numFeatures(), m_contourData.numFeatures()).plus(W);

    return Utils.log2(W.det()) * (m_contourData.numFeatures() + m_contourData.numVectors()) / 2;

}

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From source file:org.knime.knip.suise.node.boundarymodel.contourdata.ContourCluster.java

License:Open Source License

private double calcLMDL() {

    // create sample matrix
    Matrix V = new Matrix(m_cdata.numFeatures(), m_samples.size());

    double[] vec;
    for (int i = 0; i < m_samples.size(); i++) {
        vec = m_cdata.get(m_samples.get(i)[0], m_samples.get(i)[1]);
        for (int j = 0; j < vec.length; j++) {
            V.set(j, i, vec[j]);/*from w w w.j a v  a 2s.  c om*/
        }
    }

    double epsilon = 5;

    // estimate of the covariance matrix
    Matrix W = V.times(V.transpose());

    W.times(m_cdata.numFeatures() / (epsilon * epsilon * m_samples.size()));

    W = Matrix.identity(m_cdata.numFeatures(), m_cdata.numFeatures()).plus(W);

    return Utils.log2(W.det()) * (m_cdata.numFeatures() + m_samples.size()) / 2;

}

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