Title :
Clustering Genetic Algorithm
Author_Institution :
Acad. of Sci. of the Czech Republic, Prague
Abstract :
In this paper we present and study a clustering technique based on genetic algorithms Clustering Genetic Algorithm. Performance of the algorithm is demonstrated on experiments. We have shown that it outperforms the k-means algorithm on some tasks. In addition, it is capable of optimising the number of clusters for tasks with well formed and separated clusters.
Keywords :
genetic algorithms; pattern clustering; genetic algorithms clustering technique; k-means algorithm; Application software; Clustering algorithms; Computer science; Data analysis; Data mining; Databases; Expert systems; Genetic algorithms; Machine learning; Machine learning algorithms;
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
Print_ISBN :
978-0-7695-2932-5
DOI :
10.1109/DEXA.2007.65
