PL EN


Preferences help
enabled [disable] Abstract
Number of results
2011 | 20 |
Article title

Genetic algorithm for clustering, finding the number of clusters

Content
Title variants
Languages of publication
PL
Abstracts
PL
In this paper a genetic algorithm for clustering is proposed. The algorithm is based on the variable length chromosomes and the notion of local points density in the clustered set. Its role is to identify the number of clusters in the clustered set and to partition this set into particular clusters. The tests were conducted for two different sets of two dimensional data. The algorithm performed well in both cases. The tests presented the ability of the algorithm to partition the subsets combined with the thin dense area into separate clusters.
Publisher
Year
Volume
20
Physical description
Dates
published
2011
online
21 - 05 - 2015
Contributors
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.ojs-issn-2083-8476-year-2011-volume-20-article-2225
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.