A New Measure For Clustering Model Selection
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Date
2008-05-20T14:42:24Z
Authors
McCrosky, Jesse
Advisor
Journal Title
Journal ISSN
Volume Title
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.
Description
Keywords
Clustering, Model Selection