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
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;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277127
