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An optimization algorithm often used for maximum-likelihood estimation in the presence of missing data.

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I was fitting GMM clusters with diagonal covariance on my data using EM with $n$ (=5e6) points, each having $m$ (=160) dimensions. I wanted to get around $k$ (=400) clusters. But this is taking a lot …
asked Mar 13 '18 by Utkarsh Mall