Study on Topic-Based Web Clustering
Liang Ma · Zhongwen xinxi xuebao · 2003
With the ceaseless resource inflation and rapid change of information on Web, it has become difficult to manage vast e-data through traditional manual method. Web clustering can automatically classify documents and help us to discover new information. Considering the complexity of Web documents, we offer a method of feature re-select and document re-cluster and perform a good Web clustering.