Improving fuzzy C-means clustering algorithm based on a density-induced distance measure

The authors report an improved fuzzy C-means algorithm in comparison with the conventional one by employing a density-induced distance metric based on a novel calculation method of relative density degree. By using various synthetic and real data sets, the clustering performance of the proposed meth...

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Bibliographic Details
Main Authors: Chunhong Lu, Shaoqing Xiao, Xiaofeng Gu
Format: Article
Language:English
Published: Wiley 2014-04-01
Series:The Journal of Engineering
Subjects:
Online Access:http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0053