Get the free model based gaussian and non gaussian clustering jeffrey d form - stat washington

L Jeffrey D. Banfield Adrian Raftery TECHNICAL REPORT No. 186 Model-based Gaussian and non-Gaussian Clustering Department of Mathematical Sciences Montana State University Bozeman Montana 59715. Adrian E* Raftery University of Washington Seattle Washington 98195. ABSTRACT The classification maximum likelihood approach is sufficiently general to encompass many current clustering algorithms including those based on the sum of squares criterion and on the criterion of Friedman and Rubin 1967....

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Model based gaussian and is a statistical method used in machine learning to create a probabilistic model of data using Gaussian distributions.

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