Incremental clustering classifier and predictor
First Claim
1. A computer-implemented method of classifying an instance comprising the steps of:
- receiving an instance to be classified, the instance to be classified comprising at least one attribute and corresponding relevance value;
determining a best host for the instance to be classified;
inserting the instance to be classified into a location relative to at least one child of the best host within a classification structure, the classification structure comprising at least one node, and the node comprising at least one attribute and corresponding relevance value; and
displaying the classification structure;
determining at least one distinguishing feature of the instance to be classified; and
visually contrasting the instance to be classified vice nodes within the classification structure, based upon the value of the at least one distinguishing feature.
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Abstract
The present invention provides mathematical model-based incremental clustering methods for classifying sets of data and predicting new data values, based upon the concepts of similarity and cohesion. In order to increase processing efficiency, these methods employ weighted attribute relevance in building unbiased classification trees and sum pairing to reduce the number of nodes visited when performing classification or prediction operations. In order to increase prediction accuracy, these methods employ weighted voting over each value of target attributes to calculate a prediction profile. The present invention also allows an operator to determine the importance of attributes and reconstitute classification trees without those attributes deemed unimportant to further increase classification structure node processing efficiency.
42 Citations
5 Claims
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1. A computer-implemented method of classifying an instance comprising the steps of:
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receiving an instance to be classified, the instance to be classified comprising at least one attribute and corresponding relevance value; determining a best host for the instance to be classified; inserting the instance to be classified into a location relative to at least one child of the best host within a classification structure, the classification structure comprising at least one node, and the node comprising at least one attribute and corresponding relevance value; and displaying the classification structure; determining at least one distinguishing feature of the instance to be classified; and visually contrasting the instance to be classified vice nodes within the classification structure, based upon the value of the at least one distinguishing feature. - View Dependent Claims (2, 3, 4, 5)
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Specification