Convergence properties of the em algorithm in the mixture model with missing data

N. Dwidayati; Zaenuri

doi:10.1088/1742-6596/983/1/012091

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Convergence properties of the em algorithm in the mixture model with missing data

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N. Dwidayati, Zaenuri

2018 Journal of Physics: Conference Series Vol. 983 Issue 1 Conference paper Cited by 1 SDG 9

Abstract

The research aims toinvestigate the convergence properties of the EM Algorithm in the mixture model with missing data.We have the key property of the EM algorithm is that the incomplete data log-likelihood increases after each iteration of the algorithm. So, the EM sequence of likelihoods must converge if the likelihood is bounded above. © Published under licence by IOP Publishing Ltd.

Affiliations

Department of Mathematics, FMIPA, Universitas Negeri Semarang, Indonesia

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