APPLICATION OF THE CONCEPT OF SUBJECTIVE ENTROPY TO EVALUATION OF CLUSTERING ALGORITHMS.

Witold Pedrycz

APPLICATION OF THE CONCEPT OF SUBJECTIVE ENTROPY TO EVALUATION OF CLUSTERING ALGORITHMS.

Witold Pedrycz

Katedra Pomiarów i Systemów Sterowania (RAU/RAU2)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

Abstrakt

Characterization of various methods of fuzzy clustering is dealt with using the concept of probabilistic sets and their subjective entropy. General schemes of clustering techniques with objective performance-indices-criterion-functions are discussed. Various indices characterizing subjective entropy of clustered objects with respect to established classes, and indices expressing degree of interaction between clusters are mentioned.

Język oryginału	angielski
Strony (od–do)	1-11
Liczba stron	11
Czasopismo	Advances in modelling & simulation
Tom	4
Numer wydania	2
Status publikacji	Opublikowano - 1985

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Cytowanie

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title = "APPLICATION OF THE CONCEPT OF SUBJECTIVE ENTROPY TO EVALUATION OF CLUSTERING ALGORITHMS.",

abstract = "Characterization of various methods of fuzzy clustering is dealt with using the concept of probabilistic sets and their subjective entropy. General schemes of clustering techniques with objective performance-indices-criterion-functions are discussed. Various indices characterizing subjective entropy of clustered objects with respect to established classes, and indices expressing degree of interaction between clusters are mentioned.",

author = "Witold Pedrycz",

year = "1985",

language = "English",

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journal = "Advances in modelling \& simulation",

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AU - Pedrycz, Witold

PY - 1985

Y1 - 1985

N2 - Characterization of various methods of fuzzy clustering is dealt with using the concept of probabilistic sets and their subjective entropy. General schemes of clustering techniques with objective performance-indices-criterion-functions are discussed. Various indices characterizing subjective entropy of clustered objects with respect to established classes, and indices expressing degree of interaction between clusters are mentioned.

AB - Characterization of various methods of fuzzy clustering is dealt with using the concept of probabilistic sets and their subjective entropy. General schemes of clustering techniques with objective performance-indices-criterion-functions are discussed. Various indices characterizing subjective entropy of clustered objects with respect to established classes, and indices expressing degree of interaction between clusters are mentioned.

UR - https://www.scopus.com/pages/publications/0022306322

M3 - Article

AN - SCOPUS:0022306322

SN - 0761-2494

VL - 4

SP - 1

EP - 11

JO - Advances in modelling & simulation

JF - Advances in modelling & simulation

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ER -

APPLICATION OF THE CONCEPT OF SUBJECTIVE ENTROPY TO EVALUATION OF CLUSTERING ALGORITHMS.

Abstrakt

Obszary tematyczne ASJC Scopus

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