DocumentCode
1623451
Title
A fuzzy modeling approach to cluster validity
Author
Le Capitaine, Hoel ; Frélicot, Carl
Author_Institution
MIA Lab., Univ. of La Rochelle, La Rochelle, France
fYear
2009
Firstpage
462
Lastpage
467
Abstract
This paper presents a new approach to find the optimal number of clusters of a fuzzy partition. It is based on a fuzzy modeling approach which combines measures of clusters´ separation and overlap. Theses measures are based on triangular norms and a discrete Sugeno integral. Results on artificial and real data sets prove its efficiency compared to indexes from the literature.
Keywords
data handling; fuzzy set theory; pattern clustering; cluster validity; discrete Sugeno integral; fuzzy modeling approach; fuzzy partition; Aggregates; Bridges; Clustering algorithms; Data structures; Fuzzy sets; Fuzzy systems; Multidimensional systems; Noise shaping; Partitioning algorithms; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location
Jeju Island
ISSN
1098-7584
Print_ISBN
978-1-4244-3596-8
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2009.5277127
Filename
5277127
Link To Document