A New Measure For Clustering Model Selection
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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.
Cite this work
Jesse McCrosky (2008). A New Measure For Clustering Model Selection. UWSpace. http://hdl.handle.net/10012/3697