The research on Chinese document clustering based on WEKA

Abstract

This paper gives an experiment on Chinese document clustering based on WEKA. WEKA is an excellent open-source of data mining tool in abroad, but it is rarely used at home. We conducted the Chinese document clustering by K-means algorithm through adjusting the parameters in WEKA. Recall, precision and F-measure method are used to evaluate the experiment. We hope to provide a reference for researchers in this field.