Examples of edu.ucla.sspace.matrix.SparseMatrix

edu.ucla.sspace.matrix.SparseMatrix
An interface for sparse {@code Matrix} implementations whose backing datastorage permits accessing rows and columns with {@link SparseVector} objects. @see Matrix @see SparseDoubleVector @author DavidJurgens

    };


    @Test public void testReduction() {
        MatrixFactorization reducer =
            new NonNegativeMatrixFactorizationMultiplicative();
        SparseMatrix matrix = new YaleSparseMatrix(VALUES);


        reducer.factorize(matrix, 2);


        Matrix W = reducer.dataClasses();
        assertEquals(4, W.rows());

View Full Code Here

        }


        Properties props = System.getProperties();
        Assignments assignments = null;
        if (sparseVectors.size() > 0) {
            SparseMatrix matrix = Matrices.asSparseMatrix(sparseVectors);
            assignments = (numClusters > 0) 
                ? clustering.cluster(matrix, numClusters, props)
                : clustering.cluster(matrix, props);
        } else {
            Matrix matrix = Matrices.asMatrix(vectors);

View Full Code Here


        /**
         * {@inheritDoc}
         */
        public void processSpace(Properties properties) {
            SparseMatrix cleanedMatrix = (SparseMatrix) transform.transform(
                    cooccurrenceMatrix);
            for (String term : basis.keySet()) {
                int index = basis.getDimension(term);
                SparseDoubleVector sdv = cleanedMatrix.getRowVector(index);


                double score = 0;
                for (int i : sdv.getNonZeroIndices())
                    score += sdv.get(i);

View Full Code Here


        /**
         * {@inheritDoc}
         */
        public void processSpace(Properties properties) {
            SparseMatrix cleanedMatrix = (SparseMatrix) transform.transform(
                    cooccurrenceMatrix);
            for (String term : basis.keySet()) {
                int index = basis.getDimension(term);
                SparseDoubleVector sdv = cleanedMatrix.getRowVector(index);


                double score = 0;
                for (int i : sdv.getNonZeroIndices())
                    score += sdv.get(i);

View Full Code Here

0 1

TOP

Related Classes of edu.ucla.sspace.matrix.SparseMatrix

edu.ucla.sspace.clustering.BaseSpectralCut

edu.ucla.sspace.clustering.ClusteringByCommittee

edu.ucla.sspace.clustering.GapStatistic$ReferenceDataGenerator

edu.ucla.sspace.clustering.LinkClustering

edu.ucla.sspace.clustering.SpectralClustering

edu.ucla.sspace.coals.Coals

edu.ucla.sspace.hal.HyperspaceAnalogueToLanguage

edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationMultiplicativeTest

edu.ucla.sspace.purandare.PurandareFirstOrder

edu.ucla.sspace.tools.BasisMaker$OccurrenceCounter

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.