FCM演算法研究(二)--近五年改進文獻彙總
近年來,FCM 演算法越來越受歡迎,被應用到各個領域範圍,針對FCM演算法的改進也越來越多。本文總結了近兩年來的演算法改進,如有改進演算法不全請自己查詢哦,論文太多啦。由於參考文獻均為英文論文,這裡就不翻譯了,畢竟俺不是歪果仁。
2014年
D-FICCA (Density-based Fuzzy Imperialist Competitive Clustering Algorithm )
參考文獻:D-FICCA: a density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks.FGGCA
參考文獻: Fuzzy granular gravitational clustering algorithm for multivariate data
2013年
Type-2 FCM
參考文獻: A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentationGRFKM
參考文獻: Rough clustering using generalized fuzzy clustering algorithmF-TCLUST
參考文獻: Robust constrained fuzzy clusteringVague c-means
參考文獻:Vague C-means clustering algorithm
2012年
GRFCM
參考文獻: Generalized rough fuzzy c-means algorithm for brain MR image segmentationSSFCA
參考文獻: A semi-supervised fuzzy clustering algorithm applied to gene expression data
2011年
Possiblistic FCM
參考文獻:A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR imageRecursive FCM
參考文獻:Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes
2010年
MFCM
參考文獻:Semi-supervised outlier detection based on fuzzy rough
C-means clusteringFRSSOD
參考文獻: Median fuzzy c-means for clustering dissimilarity data