International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 43 - Number 13 |
Year of Publication: 2012 |
Authors: Esh Narayan, Yogesh Birla, Gaurav Kumar Tak |
10.5120/6167-8572 |
Esh Narayan, Yogesh Birla, Gaurav Kumar Tak . Enhancement of fuzzy c-means clustering using EM algorithm. International Journal of Computer Applications. 43, 13 ( April 2012), 43-46. DOI=10.5120/6167-8572
In present time many clustering techniques are use the data mining. The clustering gives the best performance in all research proposals. We know that k_ means clustering is the best clustering techniques in the data mining, but some disadvantage of k_ means clustering. Although clustering algorithms can be classi?ed into two categories: hard clustering algorithms and fuzzy clustering algorithms and The Fuzzy-C-Means (FCM) clustering algorithm is also known as Soft K-Means so we have proposed new enhancement of C- means clustering. Proposed algorithms will be gave the best result in fuzzy C-means clustering algorithms. We use the mouse data set to test these performances in Matlab tools.