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TESI DOCTORAL - La Salle

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References<br />

Snoek, C.G.M., M. Worring, and A.W.M. Smeulders. 2005. Early versus <strong>La</strong>te Fusion in<br />

Semantic Video Analysis. In Proceedings of the 13th ACM International Conference on<br />

Multimedia, pages 399–402.<br />

Srinivasan, S.H. 2002. Features for Unsupervised Document Classification. In Proceedings<br />

of the 6th Conference on Computational Natural <strong>La</strong>nguage Learning, pages 36–42,<br />

Taipei, Taiwan.<br />

Stein, B. and O. Niggemann. 1999. On the nature of structure and its identification. In<br />

P. Widmayer, G. Neyer, and S. Eidenbenz, editors, Proceedings of the 25th International<br />

Workshop on Graph-Theoretic Concepts in Computer Science, volume 1665 of Lecture<br />

Notes in Computer Science, pages 122–134. Springer Verlag, Berlin, Heidelberg, New<br />

York.<br />

Steinbach, M., G. Karypis, and V. Kumar. 2004. A comparison of common document<br />

clustering techniques. In Proceedings of the KDD Workshop on Text Mining, pages<br />

17–26, Boston, MA, USA.<br />

Strehl, A. 2002. Relationship-based Clustering and Cluster Ensembles for High-dimensional<br />

Data Mining. Ph.D. thesis, Faculty of the Graduate School of The University of Texas<br />

at Austin, May.<br />

Strehl, A. and J. Ghosh. 2002. Cluster Ensembles – A Knowledge Reuse Framework for<br />

Combining Multiple Partitions. Journal on Machine Learning Research, 3:583–617.<br />

Tang, B., X. Luo, M.I. Heywood, and M. Shepherd. 2004. A Comparative Study of Dimension<br />

Reduction Techniques for Document Clustering. Technical Report CS-2004-14,<br />

Faculty of Computer Science, Dalhousie University, Halifax, Canada.<br />

Tang, B., M. Shepherd, E. Milios, and M.I. Heywood. 2005. Comparing and Combining<br />

Dimension Reduction Techniques for Efficient Text Clustering. In Proceedings of the<br />

International Workshop on Feature Selection for Data Mining, pages 17–26, Newport<br />

Beach, CA, USA.<br />

Theodoridis, S. and K. Koutroumbas. 1999. Pattern Recognition. Academic Press.<br />

Tjhi, W.C. and L. Chen. 2007. Dual Fuzzy-possibilistic Co-clustering for Document Categorization<br />

and Summarization. In Optimization-based Data Mining Techniques with<br />

Applications Workshop of the IEEE International Conference on Data Mining, pages<br />

259–264.<br />

Tjhi, W.C. and L. Chen. 2009. Dual Fuzzy-possibilistic Co-clustering for Categorization of<br />

Documents. IEEE Transactions on Fuzzy Systems. Accepted for future publication (as<br />

of May 2009).<br />

Tombros, A., R. Villa, and C.J. van Rijsbergen. 2002. The effectiveness of query-specific<br />

hierarchic clustering in information retrieval. International Journal on Information<br />

Processing and Management, 38(4):559–582.<br />

Topchy, A., A.K. Jain, and W. Punch. 2003. Combining Multiple Weak Clusterings. In<br />

Proceedings of the 3rd IEEE International Conference on Data Mining, pages 331–338,<br />

Melbourne, FLA, USA.<br />

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