Title :
Advances in Research of Fuzzy C-Means Clustering Algorithm
Author :
Yanyun, Chen ; Jianlin, Qiu ; Xiang, Gu ; Jianping, Chen ; Dan, Ji ; Li, Chen
Author_Institution :
Coll. of Comput. Sci. & Technol., Nantong Univ., Nantong, China
Abstract :
Fuzzy Clustering Analysis is one of the most popular research currently. It attracts people´s attention for it´s validity in resolving fuzzy problem. With the development of computer science, Fuzzy Clustering Analysis based on objective function became hot topics and Fuzzy C-means Clustering Algorithm is one of the most perfect and most widely used theories although there are some drawbacks for the classical algorithm itself. This paper summarizes the progress of FCM algorithm, and some algorithm improvements were analyzed and compared.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; pattern clustering; FCM algorithm; computer science; fuzzy c-means clustering algorithm; fuzzy problem; objective function; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Computer science; Data mining; Indexes; Fuzzy C-means algorithm; Fuzzy Clustering; data mining;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.104
