近年來,FCM 算法越來越受歡迎，被應用到各個領域範圍，針對FCM算法的改進也越來越多。本文總結了近兩年來的算法改進，如有改進算法不全請自己查找哦，論文太多啦。由於參考文獻均為英文論文，這裏就不翻譯了，畢竟俺不是歪果仁。

2014年

1. 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.

2. FGGCA
   參考文獻： Fuzzy granular gravitational clustering algorithm for multivariate data

2013年

1. Type-2 FCM
   參考文獻： A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentation

2. GRFKM
   參考文獻： Rough clustering using generalized fuzzy clustering algorithm

3. F-TCLUST
   參考文獻： Robust constrained fuzzy clustering

4. Vague c-means
   參考文獻：Vague C-means clustering algorithm

2012年

1. GRFCM
   參考文獻： Generalized rough fuzzy c-means algorithm for brain MR image segmentation

2. SSFCA
   參考文獻： A semi-supervised fuzzy clustering algorithm applied to gene expression data

2011年

1. Possiblistic FCM
   參考文獻：A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image

2. Recursive FCM
   參考文獻：Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes

2010年

1. MFCM
   參考文獻：Semi-supervised outlier detection based on fuzzy rough
   C-means clustering

2. FRSSOD
   參考文獻： Median fuzzy c-means for clustering dissimilarity data

FCM算法文獻總結