TCBLHT: a new method of hierarchical text clustering

This paper presents a new method of hierarchical text clustering based on combination of latent semantic analysis (LSA) and hierarchical TGSOM, which is called TCBLHT method. The text clustering result using traditional methods cannot show hierarchical structure, however, the hierarchical structure is very important in text clustering. The TCBLHT method can automatically achieve hierarchical text clustering, and establishes vector space model (VSM) of term weight by using the theory of LSA, then semantic relation is included in the vector space model. Both theory analysis and experimental results confirm that TCBLHT method decreases the number of vector, and enhances the efficiency and precision of text clustering.