Detecting fraudulent words: Using PFCM clustering
Word Classification involves grouping the words in a document into clusters. Clustering data sets is a much researched problem. In 2005, Nikhil R. Pal, Kuhu Pal, James M. Keller, and James C. Bezdek proposed A Possibilistic Fuzzy cMeans (PFCM) Clustering Algorithm. The PFCM model gives the membership values and the typicality values, …
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