| Title of paper:
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Parameter tuning in fuzzy clustering of intuitionistic fuzzy data. Part 1
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| Author(s):
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| N. Karthikeyini Visalakshi
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| Department of Computer Science, Kongu Engineering College, Perundurai, Tamilnadu, India
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| karthichitru@yahoo.co.in
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| Rangasamy Parvathi
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| Department of Mathematics, Vellalar College for Women, Erode – 638 012, Tamilnadu, India
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| paarvathis@rediffmail.com
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| Vassia Atanassova
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy, Acad. G. Bonchev Str., Block 105, Sofia – 1113, Bulgaria
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| vassia.atanassova@gmail.com
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| Presented at:
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15th ICIFS, Burgas, 11-12 May 2011
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 17 (2011) Number 2, pages 44—51
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| Download:
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 PDF (48 Kb, File info)
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| Abstract:
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In this paper, a comparative analysis is made on Fuzzy C-Means clustering of intuitionistic fuzzy data with five different values of parameter λ. Ongoing research also focuses, in particular, on enhancing proposed clustering algorithm to produce intuitionistic fuzzy partitions.
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| Keywords:
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Clustering, Fuzzy C-Means, Intuitionistic fuzzy data.
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| AMS Classification:
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03E72, 68T10
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| References:
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