Parallel implementing improved k-means applied for image retrieval and anomaly detection

Abstract

Anomaly detection based on data mining is one of the key technologies to be applied to intelligent detection. K-means is a classic clustering algorithm which is efficient for anomaly detection. Traditional K-means is sensitive to the selection of initial clustering centers. Different initial value can cause different clustering results. We combine improved… (More)
DOI: 10.1007/s11042-016-3638-1

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