P. Shahsamandi Esfahani
Department of Industrial engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
[ 1 ] - A Multi-Objective Approach to Fuzzy Clustering using ITLBO Algorithm
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 data can measurably increase the quality of clustering. In this study, a model with two ...
نویسندگان همکار