1. Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms
2. Comparative study between k-means and k-medoids clustering algorithms;nirmal;J Classif,2019
3. Algorithm as 136: A k-means clustering algorithm;hartigan;Journal of the Royal Statistical Society Series C (Applied Statistics),1979
4. Sting: A statistical information grid approach to spatial data mining;wang;VLDB,1997
5. DBSCAN Revisited, Revisited