Research on a Text Clustering Method Based on n-gram Phrase
Because of the characteristic of text,text-representing method based on traditional VSM can not effectively reflect text information,and most traditional clustering algorithms can not perform effectively too.Analyzes VSM and traditional text clustering algorithms,and points out their advantages and disadvantages,and proposes a new text clustering based on n-gram phrase.The text clustering based on n-gram phrase first uses n-gram phrase to build phrase and texts model,and then changes it to related texts model,at last clusters on the related texts model.Experimental result verifies that the method is feasibility and effectiveness.