A New Measure For Clustering Model Selection
Jesse McCrosky · UWSpace (University of Waterloo) · 2008
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.