近年来,FCM 算法越来越受欢迎,被应用到各个领域范围,针对FCM算法的改进也越来越多。本文总结了近两年来的算法改进,如有改进算法不全请自己查找哦,论文太多啦。由于参考文献均为英文论文,这里就不翻译了,毕竟俺不是歪果仁。
2014年
D-FICCA (Density-based Fuzzy Imperialist Competitive Clustering Algorithm )
参考文献:D-FICCA: a density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks.FGGCA
参考文献: Fuzzy granular gravitational clustering algorithm for multivariate data
2013年
Type-2 FCM
参考文献: A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentationGRFKM
参考文献: Rough clustering using generalized fuzzy clustering algorithmF-TCLUST
参考文献: Robust constrained fuzzy clusteringVague c-means
参考文献:Vague C-means clustering algorithm
2012年
GRFCM
参考文献: Generalized rough fuzzy c-means algorithm for brain MR image segmentationSSFCA
参考文献: A semi-supervised fuzzy clustering algorithm applied to gene expression data
2011年
Possiblistic FCM
参考文献:A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR imageRecursive FCM
参考文献:Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes
2010年
MFCM
参考文献:Semi-supervised outlier detection based on fuzzy rough
C-means clusteringFRSSOD
参考文献: Median fuzzy c-means for clustering dissimilarity data