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The cluster analysis has several methods that aim to identify groups within a dataset. This paper presents a new method for the automatic clustering problem based on both Density and Grid methodologies. The goal of the new method is identify the ideal number of clusters given a dataset by the maximization of Silhouette Index. According the computational experiments, the use of this method is a new promising way to solve the problem.

PROPOSTA DE UM MÉTODO BASEADO EM DENSIDADE E GRADE PARA O PROBLEMA DE AGRUPAMENTO AUTOMÁTICO