A New Measure For Clustering Model Selection

McCrosky, Jesse2008-05-202008-05-202008-05-202008http://hdl.handle.net/10012/3697A 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.enClusteringModel SelectionA New Measure For Clustering Model SelectionMaster ThesisComputer Science