The research of clustering algorithm for topic detection based on Tibetan news texts.

Topic detection was raised in order to help people find an unknown news topic from vast amounts of news reports, and the research of clustering algorithm is the core content to realize topic detection technology based on Tibetan news text. This paper proposes a clustering algorithm is based on simple clustering algorithm. First of all, this algorithm improves the impact that the different text order causes the difference of the clustering results. Secondly, introducing the concept of seed topic, this algorithm determines the subject category through the number of seed topic. The new clustering algorithm of this study has a certain degree of increase, compared with the previous algorithm, in a smaller corpus. The research object of this paper is the text of Tibetan news website news. [ABSTRACT FROM AUTHOR]