Evolutionary Composite Attribute Clustering

Author(s):  
Tzung-Pei Hong ◽  
Wei-Ping Song ◽  
Chu-Tien Chiu
Keyword(s):  
PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0178650
Author(s):  
Janamejaya Chowdhary ◽  
Frank E. Löffler ◽  
Jeremy C. Smith

2013 ◽  
Vol 444-445 ◽  
pp. 676-680
Author(s):  
Li Guo ◽  
Guo Feng Liu ◽  
Yu E Bao

In multiple attribute clustering algorithms with uncertain interval numbers, most of the distances between the interval-valued vectors only consider the differences of each interval endpoint ignoring a lot of information. To solve this problem, according to the differences between corresponding points in each interval number, this paper gives a distance formula between interval-valued vectors, extends a FCM clustering algorithm based on interval multiple attribute information. Through an example, we prove the validity and rationality of the algorithm. Keywords: interval-valued vector; FCM clustering algorithm; distance measure; fuzzy partition


Sign in / Sign up

Export Citation Format

Share Document