A Text Clustering Method Based on Auto-Selected Threshold

Text clustering is becoming more and more popular due to the increasing of texts on Web and the requirements in real application In this paper a novel text clustering method is proposed, in which cluster texts are clustered into fine clusters firstly, and then the fine clusters are clustered using agglomerative nesting clustering method A method that can select threshold automatically in clustering process is also proposed, based on multinomial simulation technique This method is applied in the clustering algorithm The experiments show that the algorithm adopted has a good result in computational complexity, clustering effect and tolerance of outliers