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Abstract
This technical report describes the statistical method of expectation maximization (EM) for parameter estimation. Several of 1D, 2D, 3D and n-D examples are presented in this document. Applications of the EM method are also demonstrated in the case of mixture modeling using interactive Java applets in 1D (e.g., curve fitting), 2D (e.g., point clustering and classification) and 3D (e.g., brain tissue classification).
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Title:
Expectation Maximization and Mixture Modeling Tutorial
Author:
Dinov, Ivo D, UCLA
Publication Date:
12-09-2008
Series:
Permalink:
http://escholarship.org/uc/item/1rb70972
Keywords:
statistics, mixture modeling, expectation maximization, model fitting, probability, applications
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