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Expectation Maximization (EM) Algorithm is an iterative algorithm that is often used for estimating parameters of Gaussian Mixture Model. Due to high computational cost, it is generally not convenient for use in large scale datasets. This paper proposes three strategies for improving the time efficiency of the algorithm when applied on large datasets. The first strategy uses grid based sampling methods...
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