H.6.4. Clustering
1. A Multi-Objective Approach to Fuzzy Clustering using ITLBO Algorithm

P. Shahsamandi Esfahani; A. Saghaei

Volume 5, Issue 2 , Summer 2017, , Pages 307-317

Abstract
  Data clustering is one of the most important areas of research in data mining and knowledge discovery. Recent research in this area has shown that the best clustering results can be achieved using multi-objective methods. In other words, assuming more than one criterion as objective functions for clustering ...  Read More