most citedHybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2016★ 3 cited

Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance

D. Raja Kishor, N. B. Venkateswarlu

The present work proposes hybridization of Expectation-Maximization (EM) and K-Means techniques as an attempt to speed-up the clustering process. Though both K-Means and EM techniq…