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Item Classification of Words Using PFCM Clustering(2016-12-19T12:53:31Z) Ritika, SinghalClustering is one of the highly searched problem of today’s researchers. It is mainly the distribution of data points into groups or clusters. There are various algorithms used for fuzzy clustering. Out of them the Possibilistic Fuzzy c-means Algorithm is the best choice. When it comes to cluster words or plain text, then another problem that requires a strategic solution is to map the words to data points. Then the PFCM can be run and clustering can be achieved. The proposed system works on an approach to cluster the words using PFCM and then provide a detailed report for the output obtained.