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

Department of Cybernetics, Nanotechnology and Data Processing (RAU/RAU10)

Institute of Medical Technology and Equipment

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	640-645
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	3070
DOIs	https://doi.org/10.1007/978-3-540-24844-6_97
Publication status	Published - 2004
Event	7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004 - Zakopane, Poland Duration: 7 Jun 2004 → 11 Jun 2004

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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

Cite this

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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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note = "7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004 ; Conference date: 07-06-2004 Through 11-06-2004",

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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

Abstract

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