A cluster reasearch of TDT based on object migration automaton
Yang Xia · Journal of Anhui University · 2007
Object Migration Automaton(OMA) is a good method for Topic Detection and Tracking(TDT),because of its slow clustering,traditional OMA model can't satisfy the requirement in the aspect of real-time and incremental clustering.Therefore,this paper improves the traditional OMA by improved the actions and proposed the document-choosing policy of the automaton to accelerate the clustering of OMA.The improved method was experimented on a middle size document collection,the result indicates that the method has a better clustering performance.