A Multi-Objective Genetic Graph-Based Clustering algorithm with memory optimization

Clustering is one of the most versatile tools for data analysis. Over the last few years, clustering that seeks the continuity of data (in opposition to classical centroid-based approaches) has attracted an increasing research interest. It is a challenging problem with a remarkable practical interes...

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Veröffentlicht in:	2013 IEEE Congress on Evolutionary Computation S. 3174 - 3181
Hauptverfasser:	Menendez, Hector D., Barrero, David F., Camacho, David
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2013
Schlagworte:	Algorithm design and analysis Clustering algorithms Genetic algorithms Genetics Measurement Sociology Statistics
ISBN:	1479904538, 9781479904532
ISSN:	1089-778X
Online-Zugang:	Volltext
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