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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Published in | Intelligent Data Engineering and Automated Learning - IDEA 2011 Vol. 6936; pp. 317 - 326 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Germany
Springer Berlin / Heidelberg
2011
Springer Berlin Heidelberg |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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