Reference Work Entry

Encyclopedia of Machine Learning and Data Mining

pp 697-700

Date:

K-Medoids Clustering

  • Xin JinAffiliated withPayPal Inc. Email author 
  • , Jiawei HanAffiliated withUniversity of Illinios at Urbana-Champaign

Abstract

K-Medoids Clustering is a clustering method more robust to outliers than K-Means. Representative algorithms include Partitioning Around Medoids (PAM), CLARA, CLARANS, etc.