PPMFA: A New Fuzzy CLUSTERING Algorithm Based on Pursuit Project Model

In this paper, A new fuzzy algorithm(PPMFA) based on pursuit project model is presented, which is applied to the text clustering. The main defect of traditional methods of fuzzy clustering algorithm based on partition is to know the number of clustering in advance. The text eigenvector is acquired based on the vector space model (VSM) and TF.IDF method. The pursuit project model is applied to the fuzzy neural network's structure, which achieves clustering. The experiment shows the precision and the efficiency of clustering PPMFA are higher than traditional fuzzy clustering algorithm FCM.