An article on Expectation Maximization Theory, taken from the book “Biometric Authentication: A Machine Learning Approach”.
The article/book-chapter addresses a data-clustering algorithm, called the expectation-maximization (EM) algorithm, when complete or partial information of observed data is made available.
The book is written by M.W. Mak, S.Y. Kung, S.H. Lin. and the sample chapter is provided courtesy of Prentice Hall PTR. / Jan 3, 2005.
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