K. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft, When Is ???Nearest Neighbor??? Meaningful?, pp.217-235, 1999.
DOI : 10.1007/3-540-49257-7_15

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.1422

D. L. Davies and D. W. Bouldin, A cluster separation measure. Pattern Analysis and Machine Intelligence, IEEE Transactions on PAMI, vol.1, issue.2, pp.224-227, 1979.
DOI : 10.1109/tpami.1979.4766909

J. C. Dunn, A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics, vol.3, issue.3, pp.32-57, 1973.
DOI : 10.1080/01969727308546046

B. Fritzke, A growing neural gas network learns topologies, Advances in Neural Information Processing Systems 7, pp.625-632, 1995.

J. Holmström, Growing Neural Gas Experiments with GNG, GNG with Utility and Supervised GNG. Master's thesis, 2002.

T. Kohonen, Self-Organization and Associative Memory, Series in Information Sciences, vol.8, 1984.
DOI : 10.1007/978-3-642-88163-3

T. Kohonen, Self Organizing Maps, 2001.

T. Martinetz, Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps, ICANN '93, pp.427-434978, 1993.
DOI : 10.1007/978-1-4471-2063-6_104

T. Martinetz, K. Y. Schulten, and A. Ennaji, A " neural-gas " network learns topologies An incremental growing neural gas learns topologies, Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, pp.397-402, 1991.

P. J. Rousseeuw, Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, vol.20, issue.0, pp.53-65, 1987.
DOI : 10.1016/0377-0427(87)90125-7

I. Sledge and J. Keller, Growing neural gas for temporal clustering, 2008 19th International Conference on Pattern Recognition, pp.1-4, 2008.
DOI : 10.1109/ICPR.2008.4761768

A. Ultsch, Clustering with SOM: U*C, Proc. Workshop on Self-Organizing Maps, pp.75-82, 2005.

L. Vojá?ek and J. Dvorsk´ydvorsk´y, Growing Neural Gas ??? A Parallel Approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNCS, vol.8104, pp.408-419, 2013.
DOI : 10.1007/978-3-642-40925-7_38

L. Vojá?ek, J. Martinovi?, J. Dvorsk´ydvorsk´y, K. Slaninová, and I. Vondrák, Parallel Hybrid SOM Learning on High Dimensional Sparse Data, IEEE Proceedings of International Conference on Computer Information Systems and Industrial Management Applications CISIM 2011, 2011.
DOI : 10.1016/S0167-8191(05)80069-9