Research Article

A Novel Direct Relational Heuristic Algorithm of Possibilistic Clustering

by  Dmitri A. Viattchenin, Aliaksandr Yaroma, Aliaksandr Damaratski
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Issue 18
Published: December 2014
Authors: Dmitri A. Viattchenin, Aliaksandr Yaroma, Aliaksandr Damaratski
10.5120/18850-0381
PDF

Dmitri A. Viattchenin, Aliaksandr Yaroma, Aliaksandr Damaratski . A Novel Direct Relational Heuristic Algorithm of Possibilistic Clustering. International Journal of Computer Applications. 107, 18 (December 2014), 15-21. DOI=10.5120/18850-0381

                        @article{ 10.5120/18850-0381,
                        author  = { Dmitri A. Viattchenin,Aliaksandr Yaroma,Aliaksandr Damaratski },
                        title   = { A Novel Direct Relational Heuristic Algorithm of Possibilistic Clustering },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 107 },
                        number  = { 18 },
                        pages   = { 15-21 },
                        doi     = { 10.5120/18850-0381 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Dmitri A. Viattchenin
                        %A Aliaksandr Yaroma
                        %A Aliaksandr Damaratski
                        %T A Novel Direct Relational Heuristic Algorithm of Possibilistic Clustering%T 
                        %J International Journal of Computer Applications
                        %V 107
                        %N 18
                        %P 15-21
                        %R 10.5120/18850-0381
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper deals with the problem of a heuristic approach to possibilistic clustering. The approach is based on the concept of allotment among fuzzy clusters. The paper provides the description of basic definitions of the heuristic approach to possibilistic clustering. A new parameter for algorithms is introduced and a new relational algorithm for unknown number of fuzzy clusters is proposed. An illustrative example of application of the proposed algorithm to Tamura's portrait data set is considered. Preliminary conclusions are formulated.

References
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  • Kacprzyk, J. , Owsinski, J. W. , and Viattchenin, D. A. 2014. Extracting Fuzzy Classification Rules from Three-Way Data. Journal of Automation, Mobile Robotics and Intelligent Systems. 8(2), 47-57.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Possibilistic Clustering Fuzzy Tolerance Fuzzy Cluster Allotment Cluster Size.

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