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Issue:Parameter tuning in fuzzy clustering of intuitionistic fuzzy data. Part 1

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Title of paper: Parameter tuning in fuzzy clustering of intuitionistic fuzzy data. Part 1
Author(s):
N. Karthikeyini Visalakshi
Department of Computer Science, Kongu Engineering College, Perundurai, Tamilnadu, India
karthichitru@yahoo.co.in
Rangasamy Parvathi
Department of Mathematics, Vellalar College for Women, Erode – 638 012, Tamilnadu, India
paarvathis@rediffmail.com
Vassia Atanassova
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy, Acad. G. Bonchev Str., Block 105, Sofia – 1113, Bulgaria
vassia.atanassova@gmail.com
Presented at: 15th ICIFS, Burgas, 11-12 May 2011
Published in: Conference proceedings, "Notes on IFS", Volume 17 (2011) Number 2, pages 44—51
Download:  PDF (48  Kb, Info)
Abstract: 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.
Keywords: Clustering, Fuzzy C-Means, Intuitionistic fuzzy data.
AMS Classification: 03E72, 68T10
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