Automatic Generation of Local Internet Catalogues Using the Hierarchical Radius-based Competitive Learning

This work presents a way to cluster HTML document sets in an hierarchical manner. The hierarchical clustering is performed using the Hierarchical Radius-based Competitive Learning (HRCL) neural network that has been developed by the authors. After a detailed discussion of the algorithm, HRCL clustering as well as retrieval results will be presented. The HRCL clustering results in a hierarchical multi-resolution view of the underlying (local) HTML data collection, consisting of clusters (with its cluster centroids), subclusters, sub-subclusters and so forth. The results can be combined and rendered in the way of an Internet catalogue resembling the known Yahoo directory. The Internet search can finally be accelerated using the automatically generated (sub-)cluster centroids.