Fuzzy K-Means Clustering without Reliance on Cluster Centroids

The proposed Fuzzy K-Means Clustering without Cluster Centroids (FKMWC) algorithm eliminates the need for selecting and updating cluster centroids, enhancing the flexibility, performance, and robustness of fuzzy clustering.