Examples of edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationMultiplicative

edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationMultiplicative

The most basic Non-Negative Matrix Factorization implementation. This implementation uses the original multiplicitive update rules for the two decomposed matrices. If we define our data {@link Matrix} as {@code A}, then A can be approximated by
WH
{@code W} and {@code H} are initialized with random uniform values from 0 to1. They are both updated iteratively using the following rules:
W <- W .* (AHt) ./ (W(HHt)) H <- H .* (WtA) ./ ((WtW)H)
Where {@code t} stands for the transpose.

These updates are made by fixing one of the matrices and updating the other for a small number of iterations and then updating the other while keeping the first fixed. This alternating update is done for a large number of iterations. @author Keith Stevens

            if (argOptions.hasOption("preprocess"))
                transform = ReflectionUtil.getObjectInstance(
                        argOptions.getStringOption("preprocess"));
            String algName = argOptions.getStringOption("svdAlgorithm", "ANY");
            MatrixFactorization factorization =
                new NonNegativeMatrixFactorizationMultiplicative();
            basis = new StringBasisMapping();


            throw new IOException("Not sure what to do");
//             return new LatentSemanticAnalysis(
//                 true, dimensions, transform, factorization, false, basis);


        int dimensions = options.getIntOption('r');
        MatrixFactorization reducer = null;
        Format format = null;
        if (options.getStringOption('a').equals("NMF")) {
            reducer = new NonNegativeMatrixFactorizationMultiplicative();
            format = Format.MATLAB_SPARSE;
        } else if (options.getStringOption('a').equals("SVD")) {
            reducer = SVD.getFastestAvailableFactorization();
            format = Format.SVDLIBC_SPARSE_BINARY;
        } else

Examples of edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationMultiplicative

Related Classes of edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationMultiplicative