O. Liadan, A. Callaghan, R. Meyerson, N. Motwani, and . Mishra, Sudipto Guha: Streaming-Data Algorithms for High-Quality Clustering, International Conference on Data Engineering, pp.685-696, 2002.

C. Charu, J. Aggarwal, J. Han, . Wang, S. Philip et al., A framework for clustering evolving data streams, Proceedings of the 29th international conference on Very large data bases, pp.81-92, 2003.

Y. Chen and L. Tu, Density-based clustering for real-time stream data, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.133-142, 2007.
DOI : 10.1145/1281192.1281210

B. Fritzke, A growing neural gas network learns topologies, Neural Information Processing Systems, pp.625-632, 1995.

Y. Prudent and A. , Ennaji: An incremental growing neural gas learns topologies, International Joint Conference on Neural Networks, pp.1211-1216, 2005.

H. Hamza, Y. Belaid, A. Belaid, and B. Chaudhuri, Incremental classification of invoice documents, 2008 19th International Conference on Pattern Recognition, pp.1-4, 2008.
DOI : 10.1109/ICPR.2008.4761832
URL : https://hal.archives-ouvertes.fr/inria-00346942

F. Shen, T. Ogura, and O. Hasegawa, An enhanced self-organizing incremental neural network for online unsupervised learning, Neural Networks, pp.893-903, 2007.

M. Shindler, A. Wong, and A. , Meyerson: Fast and accurate k-means for large datasets, Neural Information Processing Systems, pp.2375-2383, 2011.

A. Frank and A. , Asuncion: The UCI machine learning repository, 2010.

A. Rosenberg and J. , Hirschberg: V-measure: A conditional entropy-based external cluster evaluation measure, Neural Information Processing Systems, pp.410-420, 2007.

T. Martinetz, Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps, Proceedings of the International Conference on Artificial Neural Networks, pp.427-434, 1993.
DOI : 10.1007/978-1-4471-2063-6_104

E. Keogh, S. Lonardi, and C. A. , Ratanamahatana: Towards parameter-free data mining, Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining, pp.206-215, 2004.

M. Bouguelia, Y. Belaid, and A. Belaid, A Stream-Based Semi-supervised Active Learning Approach for Document Classification, 2013 12th International Conference on Document Analysis and Recognition, 2013.
DOI : 10.1109/ICDAR.2013.126
URL : https://hal.archives-ouvertes.fr/hal-00855184