A. Pozo

activity

20072022

most citedMOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems

9 citations · 12 across the 6 of their papers we have counts for

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cs.LG2021

Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and $Δ$ -MOCK

Adriano Kultzak, Cristina Y. Morimoto, Aurora Pozo +1

We present a data-driven analysis of MOCK, $Δ$ -MOCK, and MOCLE. These are three closely related approaches that use multi-objective optimization for crisp clustering. More specific…

cs.LG2021★ 2 cited

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…

Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and Δ-MOCK

A Review of Evolutionary Multi-objective Clustering Approaches

Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and $Δ$ -MOCK