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A Bayesian Interpretation of Fuzzy C-Means
2023Corrado Mencar, Ciro Castiello
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Measuring the congruence of fuzzy partitions in fuzzy c -means clustering
Applied Soft Computing, 2017Graphical 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 ...
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Improving projected fuzzy K-means clustering via robust learning
Neurocomputing, 2022Xiaowei Zhao, Feiping Nie, Xuelong Li
exaly
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation
Knowledge-Based Systems, 2021Radu-Emil Precup +2 more
exaly
A possibilistic fuzzy c-means clustering algorithm
IEEE Transactions on Fuzzy Systems, 2005N 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, 2011Lawrence O Hall, Dmitry Goldgof
exaly
Accelerating Fuzzy-C Means Using an Estimated Subsample Size
IEEE Transactions on Fuzzy Systems, 2014Lawrence O Hall
exaly
A Robust Fuzzy Local Information C-Means Clustering Algorithm
IEEE Transactions on Image Processing, 2010Stelios Krinidis
exaly

