Statistical pattern recognition
First Claim
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1. A method of statistical pattern recognition in a set of data having predetermined dimensions comprising the steps of:
- performing feature selection on said set of data to determine a selected feature, using a Classification and Regression Tree (CART) process to determine said selected feature;
performing pattern recognition using said set of data with said selected feature to determine a recognized pattern, wherein said pattern recognition involves the use of a kernel density estimation process, which is a democratic classification process where the density estimation is completely driven by said set of data; and
outputting said recognized pattern.
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Abstract
A method of performing statistical pattern recognition in a set of data having predetermined dimensions involving the steps of performing feature selection on the set of data to determine a selected feature; performing pattern recognition using the set of data with the selected feature to determine a recognized pattern; and outputting the recognized pattern.
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1 Claim
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1. A method of statistical pattern recognition in a set of data having predetermined dimensions comprising the steps of:
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performing feature selection on said set of data to determine a selected feature, using a Classification and Regression Tree (CART) process to determine said selected feature;
performing pattern recognition using said set of data with said selected feature to determine a recognized pattern, wherein said pattern recognition involves the use of a kernel density estimation process, which is a democratic classification process where the density estimation is completely driven by said set of data; and
outputting said recognized pattern.
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Specification