Methods of multivariate data cluster separation and visualization
Patent No. 8,423,596
Issued: April 16, 2013
Inventor: Gifford; Sean (Syracuse, NY)
A method separates multivariate data points in lower dimensional space, where each data point has been classified into one of a plurality of data clusters including at least a first data cluster and a second data cluster. The method includes the step of acquiring an ND-to-3D transformation matrix for transforming the plurality of multivariate data points to a plurality of three-dimensional data points. The method preferably includes the sub-step of performing a center of mass (COM) separation of the clusters to acquire a COM transformation matrix, where the COM transformation matrix is the ND-to-3D transformation matrix. The method also includes the step of performing a receiver-operator characteristic curve (ROC) separation to acquire an ROC transformation matrix for transforming the plurality of three-dimensional data points to a plurality of data points in a dimension lower than 3D and preferably a re-optimized COM transformation matrix.
Reference to Related Applications
This application claims one or more inventions which were disclosed in Provisional Application No. 61/150,083, filed Feb. 5, 2009, entitled "METHODS OF MULTIVARIATE DATA CLUSTER SEPARATION AND VISUALIZATION". The benefit under 35 USC .sctn.119(e) of the United States provisional application is hereby claimed, and the aforementioned application is hereby incorporated herein by reference.
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