DocumentCode :
584280
Title :
A New Semi Supervised FCM Algorithm Based on Mahalanobis Distance
Author :
Xiyang, Yang ; Zhiwei, Li
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
3
Lastpage :
6
Abstract :
A novel Semi-supervised fuzzy clustering model based on mahalanobis distance is proposed in this paper, we show that the iterative formulas to solve this model is simple and comprehensible, and the standard FCM may be viewed as a special case of our formulation. An experiment on artificial data set verifies the effectiveness of this new algorithm.
Keywords :
Mahalanobis distance; fuzzy clustering algorithm; semi supervised;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing, China
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.9
Filename :
6394247
Link To Document :
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