信息过滤的模糊聚类模型

Fuzzy Clustering Model of Information Filtering

针对Internet信息过滤问题,运用模糊聚类方法建立了一个用于信息过滤的聚类模型。该模型不仅考虑了文档间的语义联系,而且,又对文档集进行了进一步的分类,增强了类内的耦和性,减少了类间的关联性。最后,给出了一个模糊聚类算法。

To solve the problem of information filtering on Internet,the paper sets up a clustering model for information filtering using fuzzy clustering method.The model not only considers the semantic relationship between documents but also makes a further step in categorizing documents set,enhances coupling within a category and decrease s relationship among categories.At the end,a fuzzy clustering algorithm is given.