A vector space model by abstracting document features from Web pages of samples by using influencial factors was established.The advantage of density independence of OPTICS algorithm was taken for,improving the KNN algorithm to overcome the shortcoming of inadaptability to clustering of lowdensity point.Experiments show that the algorithm can enhance the stability of the results and produce higherquality clustering results.