Patent ID: 6636862
Filing Date: 2003-10-21
Classification: G06F,G06K,G06Q,Y10S

Abstract:
A method for the dynamic analysis of a first data matrix with a data structure comprised of row objects and column objects, wherein the row objects of said first data matrix can be related to a second data matrix with a data structure comprised of the same row objects and independent column objects, comprising the steps of:performing a cluster analysis on said first data matrix to segment said data matrix into two or more row clusters; creating two or more cluster membership prediction models, each of said cluster membership prediction models defining the relationship of the second matrix to a particular row cluster of the first data matrix, such that subsequent submission of data representative of an unknown row object with the data structure of the second matrix allows for a prediction of the particular row cluster of the first data matrix; and dynamically updating said at least two cluster membership prediction models with one or more new row objects having the column data structure of said first data and second matrices, provided that said new row objects are not identified as outliers, and without performing a new cluster analysis on the existing row objects of said first data matrix.