Patent ID: 8498949
Filing Date: 2013-07-30
Classification: G06F,G06K

Abstract:
1. A method of factorizing a data matrix U file by supervised nonnegative factorization, SNMF, comprising: providing a data processing device to implement the following step: accessing said data matrix U from a data store, wherein data matrix U is defined as U εR defining an intrinsic graph G, wherein G={U,W}, each column of U εR defining a penalty graph defining an intrinsic diagonal matrix D , wherein D=[D defining an intrinsic Laplacian matrix L, wherein L =D −W; defining a penalty diagonal matrix defining a penalty Laplacian matrix defining a basis matrix V, where V εR defining a feature matrix X, where X εR defining a measure of the compactness of intrinsic graph G by the weighted sum of squared distances defined as Σ defining a measure of the separability of penalty graph defining F( defining F( applying Pareto optimality to F( defining the final state V*, X* of matrices V and X at the Pareto optimal resulting from application of said Pareto optimality as a factorization of data matrix U.