Classification of Words: Using PFCM Clustering
نویسندگان
چکیده
-There are various clustering models introduced for unsupervised learning. PFCM or the possibilistic c-means model was proposed in 2005. PFCM produces mainly three values: the typicality values, membership values and the centres of the clusters. It is a hybrid model of PCM and FCM. We propose an extension to PFCM so that it can be used to cluster the text files. Keywords— possibilistic model, fuzzy clustering, c-means clustering, preprocessing, Euclidean norm, Text classification
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