Robust estimation in the normal mixture model based on robust clustering

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A robust EM clustering algorithm for Gaussian mixture models (2012, methodology): “Some others consider by using robust estimators, such as the trimmed likelihood estimator [30], trimmed k -means with trimmed data set [31] or modiﬁed t -factor analyzer [32], and so forth.”