1. Aljaber, B., Stokes, N., Bailey, J., & Pei, J. (2010). Document clustering of scientific texts using citation contexts. Information Retrieval, 13, 101–131.
2. Bashier, S., & Rauber, A. (2009). Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection. In CIKM (pp. 1863–1866).
3. Beil, F., Ester, M., & Xu, X. (2002). Frequent term-based text clustering. In KDD ’02: Proceedings of the eighth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 436–442).
4. Boley, D., Gini, M., Gross, R., Han, E. H., Hastings, K., Karypis, G., et al. (1999). Document categorization and query generation on the World Wide Web using WebACE. AI Review, 11, 365–391.
5. de Vries, C. M., & Geva, S. (2008). Document clustering with K-tree. In INEX (pp. 420–431).