A Novel Multi-Objective Genetic Algorithm for Clustering

In this paper, we introduce a new Multi-Objective Clustering algorithm (MOCA). The use of Multi-Objective optimisation in clustering is desirable because it permits the incorporation of different criteria for cluster quality. Since the criteria to establish what constitutes a good clustering is far...

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Bibliographic Details
Published inIntelligent Data Engineering and Automated Learning - IDEA 2011 Vol. 6936; pp. 317 - 326
Main Authors Kirkland, Oliver, Rayward-Smith, Victor J., de la Iglesia, Beatriz
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2011
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
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