Evolutionary Composite Attribute Clustering

2011 ◽  
Author(s):  
Tzung-Pei Hong ◽  
Wei-Ping Song ◽  
Chu-Tien Chiu
Keyword(s):  
Attribute Clustering

scholarly journals Community detection in sequence similarity networks based on attribute clustering

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0178650
Author(s):  
Janamejaya Chowdhary ◽  
Frank E. Löffler ◽  
Jeremy C. Smith
Keyword(s):  
Community Detection ◽  
Sequence Similarity ◽  
Similarity Networks ◽  
Sequence Similarity Networks ◽  
Attribute Clustering

A Study of FCM Clustering Algorithm Based on Interval Multiple Attribute Information

2013 ◽  
Vol 444-445 ◽  
pp. 676-680
Author(s):  
Li Guo ◽  
Guo Feng Liu ◽  
Yu E Bao
Keyword(s):  
Clustering Algorithm ◽  
Distance Measure ◽  
Clustering Algorithms ◽  
Interval Numbers ◽  
Fuzzy Partition ◽  
Multiple Attribute ◽  
Attribute Information ◽  
Fcm Clustering ◽  
Attribute Clustering ◽  
Interval Valued

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

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