Application of Bio-inspired Metaheuristics in the Data Clustering Problem

Application of Bio-inspired Metaheuristics in the Data Clustering Problem

Clustering analysis includes a number of different algorithms and methods for grouping objects by their similar characteristics into categories. In recent years, considerable effort has been made to improve such algorithms performance. In this sense, this paper explores three different bio-inspired...

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Bibliographic Details
Main Authors: Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Aurora Trinidad Ramirez Pozo, Ana Cristina B. Kochem Vendramin, Diogo Augusto Barros Pereira, Carlos Alberto Zorzo, Pedro Luis de Paula Filho
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2011-12-01
Series:CLEI Electronic Journal
Online Access:http://clei.org/cleiej-beta/index.php/cleiej/article/view/162

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http://clei.org/cleiej-beta/index.php/cleiej/article/view/162

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