DocumentCode
2138844
Title
Fuzzy elastic clustering
Author
Srikanth, Radhaakrishnnn ; Pet, Frederick E. ; Koutsougeras, Cris
Author_Institution
Dept. of Comput. Sci., Clark Atlanta Univ., GA, USA
fYear
1993
fDate
1993
Firstpage
1179
Abstract
The authors introduce a new hybrid method called fuzzy elastic clustering for clustering and classification of patterns. It generates closed loops around a set of training patterns and sections off portions of the hyperspace thus enclosing clusters of patterns. Patterns not in the training sets are assigned fuzzy membership values with respect to each of the clusters generated. These values are defuzzified and patterns are classified as belonging to one of the clusters. This method is motivated by the elastic net approach to solving the traveling salesman problem (TSP) of R. Durbin and D. Willshaw (1987) and T. Kohonen´s (1982) topologically organized feature maps
Keywords
fuzzy set theory; operations research; pattern recognition; defuzzified; elastic net approach; fuzzy elastic clustering; fuzzy membership values; hyperspace; topologically organized feature maps; training patterns; traveling salesman problem; Clustering methods; Computer science; Fuzzy sets; Iris; Military computing; Nails; Neural networks; Pattern recognition; Prototypes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0614-7
Type
conf
DOI
10.1109/FUZZY.1993.327559
Filename
327559
Link To Document