Document Clustering Method Based on NMFSC
一种基于NMFSC的文本聚类方法

Through analyzing the characteristics of the text,a novel text clustering approach based on Non-negative Matrix Factorization with sparseness constraint(NMFSC) is presented.The method uses NMFSC decomposing word-text matrix to reduce the dimension of the feature space,and better controls sparsity with sparseness constraint,and then further refines clusters by using the similarity of documents in clusters.Compared with text clustering method based on k-means and text clustering method based on NMF,the result...