Metadata language
Książka = Book ; KS/4/2012/P05
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[5], 45-57 stron ; 21 cm ; Bibliografia s. 55-57
Type of object: Abstract:Computer aided data mining, and in particular methods of clustering, its widely used technique, develop very rapidly nowadays. Basically, clustering is an unsupervised learning technique. However, there is a growing interest in considering the case where there is a partial knowledge on the actual grouping of the objects available. This knowledge may take form of the hints on the co-occurrence of object in the same clusters. In this paper we propose to solve this problem of constrained clustering using the technique of differential evolution (DE). We show the efficiency and usefulness of differential evolution in hard- and soft-constrained clustering tasks. Some practical examples of the clustering problems are examined and results obtained are compared to two variants of a classic clustering technique, the k-means algorithm.
Relation: Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Licencja Creative Commons Uznanie autorstwa 4.0
Terms of use:Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Digitizing institution:Instytut Badań Systemowych Polskiej Akademii Nauk
Original in:Biblioteka Instytutu Badań Systemowych PAN
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