Document Clustering Based on Probabilistic Topic Model
Jie Yuan · Dianzi xuebao · 2012
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.