Patent ID: 7043500
Filing Date: 2006-05-09
Classification: G01N,G06F,G06K,G16B,Y10S

Abstract:
1. A computer implemented method for use in analyzing similarities or differences between two or more multi-dimensional data sets, the method comprising: providing two or more multi-dimensional data sets; providing a plurality of data points for at least a first multi-dimensional data set of the two or more multi-dimensional data sets, wherein each data point is representative of at least two parameters associated with an event of a plurality of events; grouping the plurality of data points into one or more multi-dimensional groups of clustered data points, wherein each of the one or more multi-dimensional groups is defined by one or more bin boundaries associated with the at least two parameters; providing a plurality of subtraction data points for at least a second multi-dimensional data set of the two or more multi-dimensional data sets, wherein each subtraction data point is representative of the at least two parameters associated with an event of a plurality of events; grouping the plurality of subtraction data points into one or more groups of subtraction data points based on the one or more bin boundaries of the one or more multi-dimensional groups of clustered data points, wherein each of the one or more groups of subtraction data points corresponds to one of the one or more multi-dimensional groups of clustered data points; and comparing the plurality of subtraction data points of one or more groups of subtraction data points to corresponding multi-dimensional groups of clustered data points resulting in data representative of similarities or differences between at least the first multi-dimensional data set and the second multi-dimensional data set.