A new fuzzy clustering method with constraints in time domain

Jacek Leski; Aleksander Owczarek

doi:10.1007/978-3-540-24844-6_97

A new fuzzy clustering method with constraints in time domain

Jacek Leski
, Aleksander Owczarek

Katedra Cybernetyki, Nanotechnologii i Przetwarzania Danych (RAU/RAU10)

Institute of Medical Technology and Equipment

Wyniki badań: Wkład do czasopisma › Artykuł z konferencji › recenzja

Abstrakt

This paper introduces a new fuzzy clustering method with constraints in time domain which may be used to signal analysis. Proposed method makes it possible to include a natural constraints for signal analysis using fuzzy clustering, that is, the neighbouring samples of signal belong to the same cluster. The well-known from the literature fuzzy c-regression models can be obtained as a special case of the method proposed in this paper.

Język oryginału	angielski
Strony (od–do)	640-645
Liczba stron	6
Czasopismo	Lecture Notes in Computer Science
Tom	3070
Identyfikatory DOI	https://doi.org/10.1007/978-3-540-24844-6_97
Status publikacji	Opublikowano - 2004
Wydarzenie	7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004 - Zakopane, Polska Czas trwania: 7 cze 2004 → 11 cze 2004

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

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10.1007/978-3-540-24844-6_97

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title = "A new fuzzy clustering method with constraints in time domain",

abstract = "This paper introduces a new fuzzy clustering method with constraints in time domain which may be used to signal analysis. Proposed method makes it possible to include a natural constraints for signal analysis using fuzzy clustering, that is, the neighbouring samples of signal belong to the same cluster. The well-known from the literature fuzzy c-regression models can be obtained as a special case of the method proposed in this paper.",

author = "Jacek Leski and Aleksander Owczarek",

year = "2004",

doi = "10.1007/978-3-540-24844-6\_97",

language = "English",

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journal = "Lecture Notes in Computer Science",

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AU - Leski, Jacek

AU - Owczarek, Aleksander

PY - 2004

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AB - This paper introduces a new fuzzy clustering method with constraints in time domain which may be used to signal analysis. Proposed method makes it possible to include a natural constraints for signal analysis using fuzzy clustering, that is, the neighbouring samples of signal belong to the same cluster. The well-known from the literature fuzzy c-regression models can be obtained as a special case of the method proposed in this paper.

UR - https://www.scopus.com/pages/publications/9444244489

U2 - 10.1007/978-3-540-24844-6_97

DO - 10.1007/978-3-540-24844-6_97

M3 - Conference article

AN - SCOPUS:9444244489

SN - 0302-9743

VL - 3070

SP - 640

EP - 645

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004

Y2 - 7 June 2004 through 11 June 2004

ER -

A new fuzzy clustering method with constraints in time domain

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