English | 繁體

Search in the results

UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
Multi-Attribute Based Fuzzy C-means in Approximated Feature Space Conference paper
Liu, Zhulin, Chen, C. L. Philip, Chen, Long, Zhoto, Jin. Multi-Attribute Based Fuzzy C-means in Approximated Feature Space[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017.
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  Chen, Long;  Zhoto, Jin
Favorite | 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  
Random feature based multiple kernel clustering Conference paper
Zhou J., Pan Y., Wang L., Chen C.L.P.. Random feature based multiple kernel clustering[C], 2016, 7-10.
Authors:  Zhou J.;  Pan Y.;  Wang L.;  Chen C.L.P.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2019/02/11
Kernel Clustering  Maximum-entropy Method  Multi-kernel Clustering  Random Fourier Feature  
Fuzzy clustering with the entropy of attribute weights Journal article
Zhou J., Chen L., Chen C.L.P., Zhang Y., Li H.-X.. Fuzzy clustering with the entropy of attribute weights[J]. Neurocomputing, 2016, 198, 125.
Authors:  Zhou J.;  Chen L.;  Chen C.L.P.;  Zhang Y.;  Li H.-X.
Favorite | TC[WOS]:117 TC[Scopus]:148 | Submit date：2018/10/30
Attribute-weighted Clustering  Feature Selection  Kernel Method  Maximum-entropy Regularization