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