On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis-Reference-Cited by-同舟云学术

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On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis

Published:2018-06 Issue: Volume:340 Page:73-90
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Saha Arkajyoti,Das Swagatam

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference34 articles.

1. A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters;Dunn;Cybern. Syst.,1973

2. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,2013

3. The possibilistic c-means algorithm: insights and recommendations;Krishnapuram;IEEE Trans. Fuzzy Syst.,1996

4. A possibilistic approach to clustering;Krishnapuram;IEEE Trans. Fuzzy Syst.,1993

5. A mixed c-means clustering model;Pal,1997

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1. A Convergence Study of the Possibilistic One Means Algorithm;2023 IEEE International Conference on Fuzzy Systems (FUZZ);2023-08-13

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3. Evaluating the performance of fine bubble diffused aeration systems in cylindrical aeration tanks by fuzzy c-means algorithm;Water Science and Technology;2021-06-18

4. Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach;IEEE Transactions on Cybernetics;2021-05

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