%0 Journal Article %A Sara El Manar El Bouanani and Ismail Kassou %D 2013 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 79, 2013 %T A Comparison of Fuzzy Clustering Algorithms to Cluster Web Messages %U https://publications.waset.org/pdf/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