Excellence in Research and Innovation for Humanity
%0 Journal Article
%A Sara El Manar El Bouanani and  Ismail Kassou
%D 2013 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 79, 2013
%T A Comparison of Fuzzy Clustering Algorithms to Cluster Web Messages
%U http://waset.org/publications/16551
%V 79
%X Our objective in this paper is to propose an approach
capable of clustering web messages. The clustering is carried out by
assigning, with a certain probability, texts written by the same web
user to the same cluster based on Stylometric features and using
fuzzy clustering algorithms. Focus in the present work is on
comparing the most popular algorithms in fuzzy clustering theory
namely, Fuzzy C-means, Possibilistic C-means and Fuzzy
Possibilistic C-Means.

%P 1053 - 1058