. Bennett02, P. N. Bennett, S. T. Dumais, E. Et-horvitz, S. Deerwester et al., Probabilistic combination of text classifiers using reliability indicators, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.1441-1460, 1990.
DOI : 10.1145/564376.564413

W. Lam and K. Y. Et-lai, A meta-learning approach for text categorization, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, 2001.
DOI : 10.1145/383952.384011

. Lamirel04, J. C. Lamirel, C. Francois, A. Shehadi, S. Hoffman et al., Multi-Topographic new classification quality estimators for analysis of documentary information: Application to patent analysis and web mappingSuffix arrays: a new method for on-line string searches, In Scientometrics international Journal SIAM Journal of Computing, vol.60, issue.225, pp.445-462, 1993.

]. Martinetz91, T. Martinetz, and K. Et-schulten, A "neural gas" network learns topologies, Articial Neural Networks, pp.397-402, 1991.

S. Osinski, An Algoritm for Clustering of Web Search Results, 2003.

J. J. Rocchio, D. Roussinov, and M. Et-ramsey, Document retrieval systems ? optimization and evaluationInformation forage through adaptive visualizationA Vector Space Model for Automatic IndexingImplementing agglomerative hierarchical clustering algorithms for use in document retrieval, Proc. ACM Conf. on Digital Libraries 98 (DL98), pp.613-620, 1966.

O. Zamir and O. Et-etzioni, Web document clustering, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, 1998.
DOI : 10.1145/290941.290956

D. Zhang and Y. Dong, Semantic, Hierarchical, Online Clustering of Web Search Results, 3rd International Workshop on Web information and data management, 2001.
DOI : 10.1007/978-3-540-24655-8_8