A New Measure For Clustering Model Selection

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Date

2008-05-20T14:42:24Z

Authors

McCrosky, Jesse

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Publisher

University of Waterloo

Abstract

A new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from a theoretical perspective and then its implementation is examined and compared to existing solutions.

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Keywords

Clustering, Model Selection

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