Package org.apache.mahout.math.matrix.impl

Examples of org.apache.mahout.math.matrix.impl.DenseDoubleMatrix2D.columns()

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            // Calculate similarity to centroids
            centroids.zMult(selected, similarities, 1, 0, true, false);

            // Assign documents to the nearest centroid
            for (int c = 0; c < similarities.columns(); c++)
            {
                int maxRow = 0;
                double max = similarities.get(0, c);
                for (int r = 1; r < similarities.rows(); r++)
                {
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        // Initialize the centroids with some document vectors
        U = new DenseDoubleMatrix2D(A.rows(), k);
        U.assign(A.viewPart(0, 0, A.rows(), k));

        int [] minIndices = new int [D.columns()];
        double [] minValues = new double [D.columns()];

        for (iterationsCompleted = 0; iterationsCompleted < maxIterations; iterationsCompleted++)
        {
            // Calculate cosine distances
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        // Initialize the centroids with some document vectors
        U = new DenseDoubleMatrix2D(A.rows(), k);
        U.assign(A.viewPart(0, 0, A.rows(), k));

        int [] minIndices = new int [D.columns()];
        double [] minValues = new double [D.columns()];

        for (iterationsCompleted = 0; iterationsCompleted < maxIterations; iterationsCompleted++)
        {
            // Calculate cosine distances
            U.zMult(A, D, 1, 0, true, false);
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    private static DenseDoubleMatrix2D toColtMatrix(Matrix m)
    {
        DenseDoubleMatrix2D result = new DenseDoubleMatrix2D(m.rowSize(), m.columnSize());
        for (int r = 0; r < result.rows(); r++)
        {
            for (int c = 0; c < result.columns(); c++)
            {
                result.setQuick(r, c, m.getQuick(r, c));
            }           
        }
        return result;
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