Iris flower data set

New robust K-means clustering method developed to handle outliers

Researchers have developed a new robust clustering method called MK-means DPD, which utilizes density power divergence and Mahalanobis distance to effectively handle outliers and adapt to heterogeneous clusters. To addr…