DocumentCode :
2542249
Title :
Agglomerative model for fuzzy relational clustering (FRC)
Author :
Sen, Sumit ; Davé, Rajesh N.
Author_Institution :
Dept. of Mech. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2000
fDate :
2000
Firstpage :
267
Lastpage :
271
Abstract :
The concept of agglomerative model has been incorporated in fuzzy relational clustering (FRC) to address the issue of unknown numbers of clusters and a new agglomerative fuzzy relational clustering (A-FRC) is proposed. The method starts with a large number of small clusters. As the iteration proceeds, the number of clusters is progressively reduced based on the cardinality of the clusters. The algorithm then finally converges to an optimal number of clusters. The proposed algorithm has been tested for both object data and relational data
Keywords :
database theory; fuzzy logic; fuzzy set theory; pattern clustering; relational databases; agglomerative fuzzy relational clustering; agglomerative model; cluster cardinality; fuzzy relational clustering; iteration; object data; relational data; Clustering algorithms; Clustering methods; Data visualization; Mechanical engineering; Microcomputers; Partitioning algorithms; Symmetric matrices; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
Type :
conf
DOI :
10.1109/NAFIPS.2000.877434
Filename :
877434
Link To Document :
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