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Multi-attribute based fuzzy C-means in approximated feature space Conference paper
2017 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2017
Authors:  Liu Z.;  Chen C.L.P.;  Chen L.;  Zhou J.
Favorite | View/Download:4/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/13
Fuzzy C-means  Maximum Entropy Method for weighted data  Quasi-Monte Carlo Feature maps  Random Features  Random Fourier Features maps  Weighted Multi-kernel Fuzzy C-means  
Multi-Attribute Based Fuzzy C-means in Approximated Feature Space Conference paper
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  Chen, Long;  Zhoto, Jin;  IEEE
Favorite | View/Download:8/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2018/10/30
Fuzzy C-means  Random Features  Random Fourier Features maps  Quasi-Monte Carlo Feature maps  Weighted Multi-kernel Fuzzy C-means  Maximum Entropy Method for weighted data  
Fuzzy clustering with the entropy of attribute weights Journal article
Neurocomputing, 2016,Volume: 198,Page: 125
Authors:  Zhou J.;  Chen L.;  Chen C.L.P.;  Zhang Y.;  Li H.-X.
Favorite | View/Download:9/0 | TC[WOS]:58 TC[Scopus]:0 | Submit date:2018/10/30
Attribute-weighted Clustering  Feature Selection  Kernel Method  Maximum-entropy Regularization