Results 171 to 180 of about 867,994 (193)
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Fuzzy Clustering of Intuitionistic Fuzzy Data
2012In the paper a new method of fuzzy clustering basing on fuzzy features is presented. Objects are described by set of features with intutionistic fuzzy values. Generally, the method uses the concept of modified fuzzy c-means procedure applied to intuitionistic fuzzy data which describes the features. New distance measure between data and cluster centers
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Robust Fuzzy Clustering with Fuzzy Data
2005Proposed method of clustering is based on modified fuzzy c-means algorithm. In the paper features of input data are considered as linguistic variables. Any feature is described by set of fuzzy numbers. Thus, any input data representing a feature is a fuzzy number. The modified method allows finding the appropriate number of classes.
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A survey of fuzzy clustering validity evaluation methods
Information Sciences, 2022Jiesheng Wang, Guan Wang
exaly
Multicontext Fuzzy Clustering: Toward Interpretable Fuzzy Clustering
IEEE Transactions on Fuzzy SystemsMajed M. Alateeq, Witold Pedrycz
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Fuzzy Sparse Subspace Clustering for Infrared Image Segmentation
IEEE Transactions on Image Processing, 2023Xiangzhi Bai
exaly
On a class of fuzzy c-numbers clustering procedures for fuzzy data
Fuzzy Sets and Systems, 1996Miin-Shen Yang
exaly
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
Fuzzy Sets and Systems, 2010Witold Pedrycz, Daniel Graves
exaly
DPFCM: A novel distributed picture fuzzy clustering method on picture fuzzy sets
Expert Systems With Applications, 2015Le Hoang Son
exaly
Generalized picture distance measure and applications to picture fuzzy clustering
Applied Soft Computing Journal, 2016Le Hoang Son
exaly