Geometrization for pattern recognition data analysis, data merging and multiple criteria decision making
First Claim
1. A data mining method comprising:
- (a) using a computer processor, receiving data;
(b) forming two partitions of the received data;
(c) applying admissible geometrization to the partitioned data to produce a plurality of deformation matrices;
(d) analyzing the plurality of deformation matrices; and
(e) interpreting the analyzed plurality of deformation matrices as mined data;
wherein the deformation matrices comprise an output of the step of applying admissible geometrization to the partitioned data.
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Abstract
An analyzer/classifier/synthesizer/prioritizing tool for data comprises use of an admissible geometrization process with data transformed and partitioned by an input process into one or more input matrices and one or more partition classes and one or more scale groups. The data to be analyzed/classified/synthesized/prioritized is processed by an admissible geometrization technique such as 2-partition modified individual differences multidimensional scaling (2p-IDMDS) to produce at least a measure of geometric fit. Using the measure of geometric fit and possibly other 2p-IDMDS output, a back end process analyzes, synthesizes, classifies, and prioritizes data through patterns, structure, and relations within the data.
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Citations
16 Claims
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1. A data mining method comprising:
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(a) using a computer processor, receiving data; (b) forming two partitions of the received data; (c) applying admissible geometrization to the partitioned data to produce a plurality of deformation matrices; (d) analyzing the plurality of deformation matrices; and (e) interpreting the analyzed plurality of deformation matrices as mined data; wherein the deformation matrices comprise an output of the step of applying admissible geometrization to the partitioned data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. Computer executable software program code stored on a computer readable medium which, when executed on a computer processor, performs a data mining method comprising:
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(a) using a computer processor, receiving data; (b) forming two partitions of the received data; (c) applying admissible geometrization to the partitioned data to produce a plurality of deformation matrices; (d) analyzing the plurality of deformation matrices; and (e) interpreting the analyzed plurality of deformation matrices as mined data; wherein the deformation matrices comprise an output of the step of applying admissible geometrization to the partitioned data.
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11. A computer system for data mining comprising:
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(a) a memory which is able to store data, (b) a processor which is operatively connected to the memory which will; (1) compute two partitions of the stored data, and (2) compute admissible geometrization of the partitioned data, and (3) compute a plurality of deformation matrices, and (4) compute an analysis of the plurality of deformation matrices so that said memory will store the analysis of the deformation matrices, and (c) a display to display the analysis of the deformation matrices to a user to interpret the stored analysis of the deformation matrices as mined data; wherein the deformation matrices comprise an output of the step of computing admissible geometrization of the partitioned data. - View Dependent Claims (12, 13, 14, 15, 16)
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Specification