Title :
Kernelized Non-Euclidean Relational Fuzzy c-Means Algorithm
Author :
Hathaway, Richard J. ; Huband, Jacalyn M. ; Bezdek, James C.
Author_Institution :
Dept. of Math & Comput. Sci., Georgia Southern U., Statesboro, GA
Abstract :
Successes with kernel-based classification methods have spawned recent efforts to kernelize clustering algorithms for object data. Here we extend the kernelization to relational data clustering by proposing a kernelized form of the nonEuclidean relational fuzzy c-means algorithm. A numerical test result is included
Keywords :
database theory; fuzzy set theory; pattern classification; pattern clustering; relational databases; support vector machines; clustering algorithm kernelization; kernel-based classification; kernelized nonEuclidean relational fuzzy c-means algorithm; object data; relational data clustering; support vector machines; Clustering algorithms; Computational modeling; Computer science; Fuzzy logic; Kernel; Linearity; Pattern recognition; Performance evaluation; Support vector machines; Testing;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452429
