A New Measure for Clustering Model Selection: Automatic Detection of the Number of Clusters in a Data Set - Softcover

McCrosky, Jesse

 
9783838323978: A New Measure for Clustering Model Selection: Automatic Detection of the Number of Clusters in a Data Set

Inhaltsangabe

Typical k-means clustering procedures require a priori knowledge of the number of clusters in the data set. This value can be very difficult to ascertain. Existing heuristic methods work in some cases, but are rarely very reliable. Herein, a new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from its theoretical basis and its implementation is examined and compared to existing solutions.

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Über die Autorin bzw. den Autor

Jesse McCrosky, M.Math completed his Master''s Degree in Computer Science at the University of Waterloo. He is currently pursuing a Ph.D. in Community Health and Epidemiology at the University of Saskatchewan and working for Statistics Canada as a Research Data Centre Analyst.

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