A modified fuzzy C-means(MFCM) clustering algorithm
Liang Qing Hu · Journal of Hefei University of Technology · 2003
The fuzzy Cmeans(FCM) clustering algorithm is sensitive to the situation of the initialization and easy to fall into the local minimum when iterating. In view of the parallel and whole search capacity of the genetic algorithm(GA),the GA is introduced to improve the fuzzy Cmeans clustering algorithm. The modified clustering algorithm is compared with the classical clustering algorithm by testing the iteration steps and the CPU time of the two algorithms. Experimental results show that the new algorithm is faster than the FCM algorithm and the iterating times are less .