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    • A New Measure For Clustering Model Selection 

      McCrosky, Jesse (University of Waterloo, 2008-05-20)
      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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