A genetic K-means approaches for automated Web page classification

This paper presents a new genetic K-means approach. Instead of evolving the centroid population, this new approach evolves the weights associated with the keywords, which character each class. The approach is implemented as a hierarchical automated Web page classifier for automated Web page classification. Initial experimental results are very promising and easy to expand to further classification.