2 citations · 2 across the 3 of their papers we have counts for
3 papers
An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering
Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
A variety of clustering criteria has been applied as an objective function in Evolutionary Multi-Objective Clustering approaches (EMOCs). However, most EMOCs do not provide detaile…
Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and -MOCK
Adriano Kultzak, Cristina Y. Morimoto, Aurora Pozo +1
We present a data-driven analysis of MOCK, -MOCK, and MOCLE. These are three closely related approaches that use multi-objective optimization for crisp clustering. More specific…
A Review of Evolutionary Multi-objective Clustering Approaches
Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
Evolutionary multi-objective clustering (EMOC), a modern clustering technique, has been widely applied to extract patterns, allowing us to analyze different aspects of complex data…