Document clustering: applications in a collaborative digital library
Fuad Rahman, Aman Kumar, Yuilya Tarnikova, Hassan Alam · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
This paper introduces a document clustering method within a commercial document repository, FileShare(R). FileShare(R) is a commercial collaborative digital library offering facilities for sharing and accessing documents over a simple Internet browser (e.g. Microsoft(R) Internet Explorer(R), Netscape(R) or Opera(R)) within groups of people working on common projects. As the number of documents increases within a digital library, displaying these documents in this environment poses a huge challenge. This paper proposes a document clustering method that uses a modified version of the traditional K-Means algorithm to categorize documents by their themes using lexical chaining within the FileShare(R) repository. The proposed algorithm is unsupervised, and has shown very high accuracy in a typical experimental setup.