Título: A Hybrid Method Using Evolutionary and a Linear Integer Model to Solve the Automatic Clustering Problem
Autores: Cruz, Marcelo Dib; Ochi, Luiz Satoru
Resumo: Clustering is the process by which elements of a database are assigned for clusters of similar elements. In clustering algorithms, it is usually assumed that the number of clusters is known. Unfortunately, the optimal number of clusters is unknown for many applications. These problems are known as Automatic Clustering Problems (ACP). In this work, we propose a hybrid method that uses an Evolutionary Algorithm with Local Search and a linear and integer model to solve the ACP. Computational results on a set of instances illustrate the effectiveness and the robustness of the proposed method.
Palavras-chave: Automatic Clustering; Evolutionary Algorithms; Linear and Integer Model; Hybrid Method
Páginas: 19
Código DOI: 10.21528/lmln-vol13-no2-art2
Artigo em PDF: vol13-no2-art2.pdf
Arquivo BibTex: vol13-no2-art2.bib