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
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