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A genetic algorithm for clustering, finding the number of clusters
Journal
Schedae Informaticae
Author
Śmigielski Piotr
Volume
20
Pages
101-113
ISSN
1732-3916
eISSN
2083-8476
Keywords in English
genetic algorithm
clustering
variable length chromosome
cube
Language
English
Journal language
English
Abstract in English
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.
Affiliation
Wydział Matematyki i Informatyki
dc.abstract.en | 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. | pl |
dc.affiliation | Wydział Matematyki i Informatyki | pl |
dc.contributor.author | Śmigielski, Piotr | pl |
dc.date.accessioned | 2019-04-19T06:06:58Z | |
dc.date.available | 2019-04-19T06:06:58Z | |
dc.date.issued | 2011 | pl |
dc.date.openaccess | 0 | |
dc.description.accesstime | w momencie opublikowania | |
dc.description.physical | 101-113 | pl |
dc.description.version | ostateczna wersja wydawcy | |
dc.description.volume | 20 | pl |
dc.identifier.doi | 10.4467/20838476SI.11.005.0291 | pl |
dc.identifier.eissn | 2083-8476 | pl |
dc.identifier.issn | 1732-3916 | pl |
dc.identifier.project | ROD UJ / OP | pl |
dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/73467 | |
dc.language | eng | pl |
dc.language.container | eng | pl |
dc.rights | Dozwolony użytek utworów chronionych | * |
dc.rights.licence | Inna otwarta licencja | |
dc.rights.uri | http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf | * |
dc.share.type | otwarte czasopismo | |
dc.subject.en | genetic algorithm | pl |
dc.subject.en | clustering | pl |
dc.subject.en | variable length chromosome | pl |
dc.subject.en | cube | pl |
dc.subtype | Article | pl |
dc.title | A genetic algorithm for clustering, finding the number of clusters | pl |
dc.title.journal | Schedae Informaticae | pl |
dc.type | JournalArticle | pl |
dspace.entity.type | Publication |
dc.abstract.enpl
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. dc.affiliationpl
Wydział Matematyki i Informatyki dc.contributor.authorpl
Śmigielski, Piotr dc.date.accessioned
2019-04-19T06:06:58Z dc.date.available
2019-04-19T06:06:58Z dc.date.issuedpl
2011 dc.date.openaccess
0 dc.description.accesstime
w momencie opublikowania dc.description.physicalpl
101-113 dc.description.version
ostateczna wersja wydawcy dc.description.volumepl
20 dc.identifier.doipl
10.4467/20838476SI.11.005.0291 dc.identifier.eissnpl
2083-8476 dc.identifier.issnpl
1732-3916 dc.identifier.projectpl
ROD UJ / OP dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/73467 dc.languagepl
eng dc.language.containerpl
eng dc.rights*
Dozwolony użytek utworów chronionych dc.rights.licence
Inna otwarta licencja dc.rights.uri*
http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf dc.share.type
otwarte czasopismo dc.subject.enpl
genetic algorithm dc.subject.enpl
clustering dc.subject.enpl
variable length chromosome dc.subject.enpl
cube dc.subtypepl
Article dc.titlepl
A genetic algorithm for clustering, finding the number of clusters dc.title.journalpl
Schedae Informaticae dc.typepl
JournalArticle dspace.entity.type
Publication Affiliations
No affiliation
Śmigielski, Piotr
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