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A. Abdalla

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Open access Oct 2026

Comparative Performance of Expectation-Maximization (EM) Algorithm Variants for Finite Mixtures of Linear Regression Models

Aims/ Objectives: Finite mixture models, particularly mixtures of linear regressions, are widely used for modeling heterogeneous data. Although the Expectation-Maximization (EM) algorithm is the standard estimation method, variants such as Classification EM (CEM) and Stochastic EM (SEM) offer distinct advantages. Howev...

Hafsa Mohammed, A. Abdalla, Omar A. El-Sharif et al. · 0 citations

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