The analysis of FCM clustering based on genetic algorithm in the application of the slopes stability evaluation

2014 ◽  
Author(s):  
Xiao Feng ◽  
Xuanlin Zhou ◽  
Xun Wang
Keyword(s):  
Genetic Algorithm ◽  
Stability Evaluation ◽  
Fcm Clustering

Improvement on a Fuzzy C-Means Algorithm Based on Genetic Algorithm

2014 ◽  
Vol 614 ◽  
pp. 385-388
Author(s):  
Guo Chen Jiang ◽  
Zhi Jian Sun
Keyword(s):  
Genetic Algorithm ◽  
Clustering Algorithm ◽  
Optimal Choice ◽  
Experimental Results ◽  
Fcm Algorithm ◽  
Fuzzy C Means ◽  
Fcm Clustering ◽  
Fuzzy C Means Algorithm

Weighting exponent m is an important parameter in fuzzy c-means(FCM) algorithm. In this paper, an approach based on genetic algorithm is proposed to improve the FCM clustering algorithm through the optimal choice of the parameter m. Experimental results show that the better clustering results are obtained through the new algorithm.

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