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A Bayesian Interpretation of Fuzzy C-Means

2023
Corrado Mencar, Ciro Castiello
openaire   +1 more source

Measuring the congruence of fuzzy partitions in fuzzy c -means clustering

Applied Soft Computing, 2017
Graphical abstractDisplay Omitted HighlightsWe present a new cluster validity index for fuzzy c-means clustering that resorts to information theoretic principles.Overall, it measures the congruence between fuzzy c-partitions and the observed data.We tested its effectiveness using synthetic data as well as real life data.It potentially distinguishes ...
openaire   +1 more source

Improving projected fuzzy K-means clustering via robust learning

Neurocomputing, 2022
Xiaowei Zhao, Feiping Nie, Xuelong Li
exaly  

A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

Knowledge-Based Systems, 2021
Radu-Emil Precup   +2 more
exaly  

A possibilistic fuzzy c-means clustering algorithm

IEEE Transactions on Fuzzy Systems, 2005
N R Pal, J M Keller, J C Bezdek
exaly  

Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms

IEEE Transactions on Fuzzy Systems, 2011
Lawrence O Hall, Dmitry Goldgof
exaly  

Accelerating Fuzzy-C Means Using an Estimated Subsample Size

IEEE Transactions on Fuzzy Systems, 2014
Lawrence O Hall
exaly  

A Robust Fuzzy Local Information C-Means Clustering Algorithm

IEEE Transactions on Image Processing, 2010
Stelios Krinidis
exaly  

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