Abstract: Three feature selection ways are presented for texts clustering:document frequency,term strength,entropy-based feature ranking.A comparative experiment was conducted on the there ways by using a Chinese corpus.Results show that feature selection way of TS is the best choice for the results in text clustering.

Key words: feature selection, text clustering, Chinese text