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

1. 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.

2. FGGCA

   参考文献： Fuzzy granular gravitational clustering algorithm for multivariate data

2013年

1. Type-2 FCM

   参考文献： A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentation

2. GRFKM

   参考文献： Rough clustering using generalized fuzzy clustering algorithm

3. F-TCLUST

   参考文献： Robust constrained fuzzy clustering

4. Vague c-means

   参考文献：Vague C-means clustering algorithm

2012年

1. GRFCM

   参考文献： Generalized rough fuzzy c-means algorithm for brain MR image segmentation

2. SSFCA

   参考文献： A semi-supervised fuzzy clustering algorithm applied to gene expression data

2011年

1. Possiblistic FCM

   参考文献：A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image

2. Recursive FCM

   参考文献：Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes

2010年

1. MFCM

   参考文献：Semi-supervised outlier detection based on fuzzy rough
   C-means clustering

2. FRSSOD

   参考文献： Median fuzzy c-means for clustering dissimilarity data