基于向量空间模型的层次聚类算法在文本挖掘中的应用

Application of Hierarchical Clustering Algorithm to Text Mining based on Vector Space Model

在传统聚类模型的基础上,提出一种基于向量空间模型的层次聚类算法,用于文本数据的挖掘。实验结果表明,基于向量空间模型的层次聚类算法从挖掘的准确率上更具有性能优势。

On the basis of the traditional clustering model, a hierarchical clustering algorithm based on the vector space model is presented to the text data mining. Practice shows that it is superior in the accuracy of mining.