Tytuł:

New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: applications * Differential evolution in clustering with constraints

Inny tytuł:

Książka = Book ; KS/4/2012/P05

Twórca:

Dziedzic, Mateusz

Wydawca:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Miejsce wydania:

Warszawa

Data wydania/powstania:

2012

Opis:

[5], 45-57 pages ; 21 cm ; Bibliography p. 55-57

Typ obiektu:

Book/Chapter

Abstrakt:

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.

Czasopismo/Seria/cykl:

Książka = Book

Typ zasobu:

Text

Szczegółowy typ zasobu:

Book

Źródło:

KS-2012-04-P05

Język:

eng

Język streszczenia:

eng

Prawa:

Creative Commons Attribution BY 4.0 license

Zasady wykorzystania:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitalizacja:

Systems Research Institute of the Polish Academy of Sciences

Lokalizacja oryginału:

Library of Systems Research Institute PAS

Dofinansowane ze środków:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Dostęp:

Open