On Convergence Properties of the EM Algorithm for Gaussian Mixtures

"Expectation-Maximization'' (EM) algorithm and gradient-based approaches for maximum likelihood learning of finite Gaussian mixtures. We show that the EM step in parameter space is obtained from the gradient via a projection matrix $P$, and we provide an explicit expression for...

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Bibliographic Details
Main Authors: Jordan, Michael, Xu, Lei
Language:en_US
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/7195