Document clustering with K-tree
De Vries, Christopher M. & Geva, Shlomo (2009) Document clustering with K-tree. Lecture Notes in Computer Science, 5631/2, pp. 420-431.
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Abstract
This paper describes the approach taken to the XML Mining track at INEX 2008 by a group at the Queensland University of Technology. We introduce the K-tree clustering algorithm in an Information Retrieval context by adapting it for document clustering. Many large scale problems exist in document clustering. K-tree scales well with large inputs due to its low complexity. It offers promising results both in terms of efficiency and quality. Document classification was completed using Support Vector Machines.
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