A Fast, Feature-based Cluster Algorithm for Information Retrieval

The Internet is a vast resource of information. Unfortunately, finding and accessing this information is often a very cumbersome task even with existing information platforms. Searching on the WWW suffers from the fact that almost every word is ambiguous to a certain degree in the information-rich environment of the Internet. Clustering search results is a way to solve this problem. This paper introduces a novel, fast way to cluster documents based on frequent term sets.