TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM
Kernelized Fuzzy C-Means clustering technique is an attempt to improve the performance of the conventional Fuzzy C-Means clustering technique. Recently this technique where a kernel-induced distance function is used as a similarity measure instead of a Euclidean distance which is used in the c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Applied Management, Economics and Finance – MEF, Belgrade, University Business Academy in Novi Sad
2014-04-01
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| Series: | Journal of Process Management and New Technologies |
| Subjects: | |
| Online Access: | http://www.japmnt.com/images/Volume%202/Issue%202/TOWARDS%20FINDING%20A%20NEW%20KERNELIZED%20FUZZY%20C.pdf |