DocumentCode
3422833
Title
Clustering Genetic Algorithm
Author
Kudová, Petra
Author_Institution
Acad. of Sci. of the Czech Republic, Prague
fYear
2007
fDate
3-7 Sept. 2007
Firstpage
138
Lastpage
142
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location
Regensburg
ISSN
1529-4188
Print_ISBN
978-0-7695-2932-5
Type
conf
DOI
10.1109/DEXA.2007.65
Filename
4312873
Link To Document