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TESI DOCTORAL - La Salle

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References<br />

Karypis, G., E. Han, and V. Kumar. 1999. Chameleon: Hierarchical clustering using<br />

dynamic modeling. IEEE Computer, 32(8):68–75.<br />

Karypis, G. and V. Kumar. 1998. A fast and high quality multilevel scheme for partitioning<br />

irregular graphs. SIAM Journal on Scientific Computing, 20(1):359–392.<br />

Kaski, S. 1998. Dimensionality Reduction by Random Mapping: Fast Similarity Computation<br />

for Clustering. In Proceedings of the International Joint Conference on Neural<br />

Networks, pages 413–418, Anchorage, AK, USA.<br />

Kaufman, L. and P. Rousseeuw. 1990. Finding Groups in Data: An Introduction to Cluster<br />

Analysis. New York, NY: John Wiley and Sons.<br />

Kleinberg, J. 2002. An impossibility theorem for clustering. Proceedings of the 2002<br />

Conference on Advances in Neural Information Processing Systems, 15:463–470.<br />

Klosgen, W., J.M. Zytkow, and J. Zyt. 2002. Handbook of Data Mining and Knowledge<br />

Discovery. USA: Oxford University Press.<br />

Kohavi, R. and G.H. John. 1998. The wrapper approach. In H. Liu and H. Motoda,<br />

editors, Feature Extraction, Construction and Selection: A Data Mining Perspective,<br />

pages 33–50. Springer-Verlag.<br />

Kohonen, T. 1990. The self-organizing map. Proceedings of the IEEE, 78(9):1464–1480.<br />

Kotsiantis, S. and P. Pintelas. 2004. Recent advances in clustering: a brief survey. WSEAS<br />

Transactions on Information Science and Applications, 1(1):73–81.<br />

Kuhn, H. 1955. The Hungarian Method for the Assignment Problem. Naval Research<br />

Logistic Quarterly, 2:83–97.<br />

Kuncheva, L.I., S.T. Hadjitodorov, and L.P. Todorova. 2006. Experimental comparison<br />

of cluster ensemble methods. In Proceedings of the 9th International Conference on<br />

Information Fusion, pages 24–28.<br />

<strong>La</strong> Cascia, M., S. Sethi, and S. Sclaroff. 1998. Combining textual and visual cues for<br />

content-based image retrieval on the World Wide Web. In Proceedings of the IEEE<br />

Workshop on Content-Based Access of Image and Video Libraries, pages 24–28.<br />

<strong>La</strong>nge, T. and J.M. Buhmann. 2005. Combining partitions by probabilistic label aggregation.<br />

In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge<br />

Discovery and Data Mining, pages 147–156. ACM Press.<br />

<strong>La</strong>rsen, B. and C. Aone. 1999. Fast and effective text mining using linear time document<br />

clustering. In Proceedings of the 5th International Conference on Knowledge Discovery<br />

and Data Mining, pages 16–22.<br />

Lee, D.D. and H.S. Seung. 1999. Learning the Parts of Objects by Non-Negative Matrix<br />

Factorization. Nature, 401:788–791.<br />

Lee, D.D. and H.S. Seung. 2001. Algorithms for Non-Negative Matrix Factorization. Advances<br />

in Neural Information Processing Systems, 13.<br />

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