International Journal of Computational Intelligence Systems

Volume 2, Issue 1, March 2009, Pages 69 - 82

Fuzzy Relational Fixed Point Clustering

Authors
Roelof K. Brouwer
Corresponding Author
Roelof K. Brouwer
Received 21 June 2008, Revised 27 January 2009, Available Online 1 March 2009.
DOI
10.2991/jnmp.2009.2.1.8How to use a DOI?
Abstract

The proposed relational fuzzy clustering method, called FRFP ( fuzzy relational fixed point), is based on determining a fixed point of a function of the desired membership matrix. The ethod is compared to other relational clustering methods. Simulations show the method to be very effective and less computationally expensive than other fuzzy relational data clustering methods. The membership matrices that are produced by the proposed method are less crisp than those produced

Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 1
Pages
69 - 82
Publication Date
2009/03/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/jnmp.2009.2.1.8How to use a DOI?
Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Roelof K. Brouwer
PY  - 2009
DA  - 2009/03/01
TI  - Fuzzy Relational Fixed Point Clustering
JO  - International Journal of Computational Intelligence Systems
SP  - 69
EP  - 82
VL  - 2
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/jnmp.2009.2.1.8
DO  - 10.2991/jnmp.2009.2.1.8
ID  - Brouwer2009
ER  -