To effectively cluster corpus of ordinary documents and digital books

the clustering algorithms based on LDA model and TC_LDA were proposed

respectively.The topic model named TC_LDA

the extension of LDA

is proposed for digital books corpus for jointly topic modeling from both of Texts and Contents.Unlike traditional clustering methods

topic model based methods cluster documents in a group if they share one or more common topics.Empirical evaluation demonstrates that our approach based on topic analysis can substantially improve the clustering results as compared to related methods.