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pro vyhledávání: '"Morimoto, Cristina Y."'
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 detailed analysis regarding the choice and usage of the objective functions.
Externí odkaz:
http://arxiv.org/abs/2206.09483
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 by considering multiple criteria. In this article, we present an anal
Externí odkaz:
http://arxiv.org/abs/2110.08100
We present a data-driven analysis of MOCK, $\Delta$-MOCK, and MOCLE. These are three closely related approaches that use multi-objective optimization for crisp clustering. More specifically, based on a collection of 12 datasets presenting different p
Externí odkaz:
http://arxiv.org/abs/2110.07521