Examples of ch.akuhn.hapax.linalg.SVD

ch.akuhn.hapax.linalg.SVD
Singular value decomposition of matrix A.
Given a term-document matrix A, with dimension m on n, the decomposition consists of S = a diagonal matrix with the k largest singular values, U = m left singular vectors of length k, one for each document, and V = n right singular vectors of length k, one for each term. The matrix A' = U * S * V^T is the closest rank k approximation of of matrix A [Eckard and Young].
Instances of this class are immutable. @author Adrian Kuhn, 2008-2009

    public LatentSemanticIndex createIndex() {
        return this.createIndex(DEFAULT_DIMENSIONS); 
    }


    public LatentSemanticIndex createIndex(int dimensions) {
        return new LatentSemanticIndex(terms, documents, new SVD(matrix, dimensions))
                .initializeGlobalWeightings(globalWeightings)
                .initializeDocumentLength(lengthArray.asIntArray());
    }

View Full Code Here

TOP

Related Classes of ch.akuhn.hapax.linalg.SVD

ch.akuhn.hapax.index.TermDocumentMatrix

org.codemap.svdlib.Svdlib

org.codemap.svdlib.Svdlib.SMat

org.codemap.svdlib.Svdlib.SVDRec

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.