Jorge was able to point me toward a number of important publications in the area of clustering algorithms:
1. Jain, A., Murty, M., & Flynn, P. (1999). 'Data clustering: a review', ACM Computing Surveys, vol. 31, no. 3 (pp.264-324).
2. Landauer, T., & Dumais, S. (1997). 'A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge', Psychological Review, vol. 104, no. 2 (pp.211-240).
3. Landauer, T., Laham, D., Rehder, B., & Schreiner, M. (1997). 'How well can passage meaning be derived without using word order? A comparison of Latent Semantic Analysis and humans', M.G. Shafto & P. Langley (Eds.), Proceedings of the 19th annual meeting of the Cognitive Science Society (pp. 412-417).
4. Osinski, S. 2006. 'Improving quality of search results clustering with approximate matrix factorisations', M. Lalmas et al. (Eds.): ECIR 2006, LNCS 3936 (pp.167-178).
5. Osinski, S., & Weiss, D. 2005. 'A concept-driven algorithm for clustering search results', IEEE Intelligent Systems, vol. 20, no. 3 (pp.48-54).
We briefly discussed each of these papers, and identified experiments which could be possibly replicated within my project.
At the end of this meeting, both Jorge and I were excited about the coming semester and the opportunity to work together on something that we are both interested in.