Author

A. Mandal

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Preprint Aug 2026

Robust K-means Clustering using the Density Power Divergence Measure

A robust clustering method that estimates cluster centers and covariance matrices using density power divergence measures combined with Mahalanobis distance, making it resistant to outliers and adaptable to heterogeneous, elliptical clusters, unlike the classical K-means algorithm is introduced.

Anirban Mondal, Paromita Banerjee, A. Mandal · 0 citations