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JMLR
2007

A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians

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A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Gaussians to nearoptimal precision, if the dimension is high (d lnk). We relate this to previous theoretical and empirical work on the EM algorithm.
Sanjoy Dasgupta, Leonard J. Schulman
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JMLR
Authors Sanjoy Dasgupta, Leonard J. Schulman
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