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Abstract: Factor analysis, a statistical method for modeling the covariance structure of high dimensional data using a small number of latent variables, can be extended by allowing different local factor models in different regions of the input space. This results in a model which concurrently performs clustering and dimensionality reduction, and can be thought of as a reduced dimension mixture of Gaussians. We present an exact Expectation--Maximization algorithm for fitting the parameters of this... (Update)
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BibTeX entry: (Update)
Zoubin Ghahramani and Geoffrey Hinton. The EM algorithm for mixtures of factor analyzers. Technical Report CRG-TR-96-1, Dept. of Computer Science, University of Toronto, Feb. 1997. http://citeseer.ist.psu.edu/ghahramani97em.html More
@techreport{ ghahramani96em,
author = "Zoubin Ghahramani and Geoffrey E. Hinton",
title = "The {EM} Algorithm for Mixtures of Factor Analyzers",
number = "CRG-TR-96-1",
month = "21~",
year = "1996",
url = "citeseer.ist.psu.edu/ghahramani97em.html" }
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The graph only includes citing articles where the year of publication is known.
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