. Aronszajn, Theory of reproducing kernels. Transactions of the, pp.337-404, 1950.

C. M. Bishop, M. Svensén, and C. K. Williams, GTM: The Generative Topographic Mapping, Neural Computation, vol.39, issue.1, pp.215-234, 1998.
DOI : 10.1007/BF01889678

N. Bourgeois, M. Cottrell, B. Deruelle, S. Lamassé, and P. Letrémy, How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining, Neurocomputing, vol.147, pp.120-135, 2015.
DOI : 10.1016/j.neucom.2013.12.057
URL : https://hal.archives-ouvertes.fr/hal-01168120

N. Bourgeois, M. Cottrell, S. Lamassé, and M. Olteanu, Search for Meaning Through the Study of Co-occurrences in Texts, Advances in Computational Intelligence, Proceedings of IWANN 2015, pp.578-591, 2015.
DOI : 10.1007/978-3-319-19222-2_48

. Cheng, Convergence and Ordering of Kohonen's Batch Map, Neural Computation, vol.9, issue.8, pp.1667-1676, 1997.
DOI : 10.1109/TPAMI.1984.4767478

F. Conan-guez, A. Rossi, and . Golli, Fast algorithm and implementation of dissimilarity self-organizing maps, Neural Networks, vol.19, issue.6-7, pp.6-7855, 2006.
DOI : 10.1016/j.neunet.2006.05.002
URL : https://hal.archives-ouvertes.fr/inria-00174196

M. Cottrell and J. C. Fort, Étude d'un processus d'auto-organisation. Annales de l'IHP, section B, pp.1-20, 1987.

M. Cottrell and P. Letrémy, How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey, Neurocomputing, vol.63, pp.193-207, 2005.
DOI : 10.1016/j.neucom.2004.04.011

M. Cottrell, J. C. Fort, and G. Pagès, Theoretical aspects of the SOM algorithm, Neurocomputing, vol.21, issue.1-3, pp.119-138, 1998.
DOI : 10.1016/S0925-2312(98)00034-4
URL : https://hal.archives-ouvertes.fr/hal-00141470

M. Cottrell, S. Ibbou, and P. Letrémy, SOM-based algorithms for qualitative variables, Neural Networks, vol.17, issue.8-9, pp.1149-1167, 2004.
DOI : 10.1016/j.neunet.2004.07.010
URL : https://hal.archives-ouvertes.fr/hal-00107960

M. Cottrell, M. Olteanu, F. Rossi, J. Rynkiewicz, and N. Villa-vialaneix, Neural Networks for Complex Data, KI - K??nstliche Intelligenz, vol.52, issue.2, pp.1-8
DOI : 10.1007/s13218-012-0207-2
URL : https://hal.archives-ouvertes.fr/hal-00744929

E. De-bodt, M. Cottrell, and M. Verleisen, Statistical tools to assess the reliability of self-organizing maps, Neural Networks, vol.15, issue.8-9, pp.967-978, 2002.
DOI : 10.1016/S0893-6080(02)00071-0
URL : https://hal.archives-ouvertes.fr/hal-00122768

A. El-golli, B. Conan-guez, and F. Rossi, Self organizing map and symbolic data, Journal of Symbolic Data Analysis, vol.2, issue.11, 2004.

A. El-golli, B. Conan-guez, and F. Rossi, A Self-Organizing Map for Dissimilarity Data, Classification, Clustering, and Data Mining Applications (Proceedings of IFCS 2004), pp.61-68, 2004.
DOI : 10.1007/978-3-642-17103-1_7

E. Erwin, K. Obermayer, and K. Schulten, Self-organizing maps: ordering, convergence properties and energy functions, Biological Cybernetics, vol.64, issue.1, pp.47-55, 1992.
DOI : 10.1007/BF00201801

E. Erwin, K. Obermayer, and K. Schulten, Self-organizing maps: stationary states, metastability and convergence rate, Biological Cybernetics, vol.2, issue.1, pp.35-45, 1992.
DOI : 10.1007/BF00201800

J. A. Flanagan, Self-organisation in Kohonen's SOM, Neural Networks, vol.9, issue.7, pp.1185-1197, 1996.
DOI : 10.1016/0893-6080(96)00038-X

E. W. Forgy, Cluster analysis of multivariate data: efficiency versus interpretability of classifications, Biometrics, issue.21, pp.768-769, 1965.

J. Fort, M. Cottrell, and P. Letrémy, Stochastic on-line algorithm versus batch algorithm for quantization and self organizing maps, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584), pp.43-52, 2001.
DOI : 10.1109/NNSP.2001.943109

J. Fort, P. Letrémy, and M. Cottrell, Advantages and drawbacks of the batch kohonen algorithm, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp.223-230, 2002.

J. C. Fort, SOM???s mathematics, Neural Networks, vol.19, issue.6-7, pp.812-816, 2006.
DOI : 10.1016/j.neunet.2006.05.025

J. C. Fort and G. Pagès, About the Kohonen Algorithm: Strong or Weak Self-organization?, Neural Networks, vol.9, issue.5, pp.773-785, 1995.
DOI : 10.1016/0893-6080(95)00089-5

L. Goldfarb, A unified approach to pattern recognition, Pattern Recognition, vol.17, issue.5, pp.575-582, 1984.
DOI : 10.1016/0031-3203(84)90056-6

T. Graepel, M. Burger, and K. Obermayer, Self-organizing maps: Generalizations and new optimization techniques, Neurocomputing, vol.21, issue.1-3, pp.173-190, 1998.
DOI : 10.1016/S0925-2312(98)00035-6

B. Hammer and A. Hasenfuss, Topographic Mapping of Large Dissimilarity Data Sets, Neural Computation, vol.2005, issue.9, pp.2229-2284, 2010.
DOI : 10.1162/jmlr.2003.4.6.1001

B. Hammer, A. Hasenfuss, F. Rossi, and M. Strickert, Topographic processing of relational data, Proceedings of the 6th Workshop on Self-Organizing Maps (WSOM 07), 2007.

T. Heskes, Energy functions for self-organizing maps, Kohonen Maps, pp.303-315, 1999.
DOI : 10.1016/B978-044450270-4/50024-3

T. Heskes, Self-organizing maps, vector quantization, and mixture modeling, IEEE Transactions on Neural Networks, vol.12, issue.6, pp.1299-1305, 2001.
DOI : 10.1109/72.963766

I. Michael, Z. Jordan, . Ghahramani, S. Tommi, . Jaakkola et al., An introduction to variational methods for graphical models, Machine learning, vol.37, issue.2, pp.183-233, 1999.

T. Kaski, K. Honkela, T. Lagus, and . Kohonen, WEBSOM ??? Self-organizing maps of document collections, Neurocomputing, vol.21, issue.1-3, pp.101-117, 1998.
DOI : 10.1016/S0925-2312(98)00039-3

S. Kaski, K. Jari, and T. Kohonen, Bibliography of self-organizing map (SOM) papers: 1981?1997, Neural Computing Surveys, vol.1, issue.3&4, pp.1-176, 1998.

T. Kohohen and P. J. Somervuo, Self-organizing maps of symbol strings, Neurocomputing, vol.21, issue.1-3, pp.19-30, 1998.
DOI : 10.1016/S0925-2312(98)00031-9

T. Kohonen, Self-organized formation of topologically correct feature maps, Biological Cybernetics, vol.13, issue.1, pp.59-69, 1982.
DOI : 10.1007/BF00337288

. Kohonen, Analysis of a simple self-organizing process, Biological Cybernetics, vol.43, issue.2, pp.135-140, 1982.
DOI : 10.1007/BF00317973

T. Kohonen, Median strings, Self-organization and associative memory, pp.309-313, 1985.
DOI : 10.1016/0167-8655(85)90061-3

T. Kohonen, Self-Organizing Maps, volume 30 of Springer Series in Information Science, 1995.

T. Kohonen, Self-organizing maps of symbol strings Technical report a42, Laboratory of computer and information science, 1996.

. Kohonen, Comparison of SOM Point Densities Based on Different Criteria, Neural Computation, vol.11, issue.8, pp.2081-2095, 1999.
DOI : 10.1109/TIT.1982.1056490

T. Kohonen, Self-Organizing Maps, 3rd Edition, 2001.

. Kohonen, Essentials of the self-organizing map, Neural Networks, vol.37, pp.52-65, 2013.
DOI : 10.1016/j.neunet.2012.09.018

T. Kohonen, MATLAB Implementations and Applications of the Self-Organizing Map. Unigrafia Oy, 2014.

T. Kohonen and P. J. Somervuo, How to make large self-organizing maps for nonvectorial data, Neural Networks, vol.15, issue.8-9, pp.945-952, 2002.
DOI : 10.1016/S0893-6080(02)00069-2

M. Donald and C. Fyfe, The kernel self organising map, Proceedings of 4th International Conference on knowledge-based Intelligence Engineering Systems and Applied Technologies, pp.317-320, 2000.

G. Mclachlan and D. Peel, Finite mixture models, 2004.
DOI : 10.1002/0471721182

M. Oja, S. Kaski, and T. Kohonen, Bibliography of self-organizing map (SOM) papers: 1998?2001 addendum, Neural Computing Surveys, vol.3, pp.1-156, 2003.

M. Olteanu and N. Villa-vialaneix, On-line relational and multiple relational SOM, Neurocomputing, vol.147, pp.15-30
DOI : 10.1016/j.neucom.2013.11.047
URL : https://hal.archives-ouvertes.fr/hal-01063831

D. Pollard, Strong consistency of k-means clustering. The Annals of Statistics, pp.135-140, 1981.

H. Ritter and K. Schulten, On the stationary state of Kohonen's self-organizing sensory mapping, Biological Cybernetics, vol.287, issue.2, pp.99-106, 1986.
DOI : 10.1007/BF00320480

H. Ritter, T. Martinetz, and K. Schulten, Neural computation and self-Organizing Maps, an Introduction, 1992.

. Rossi, Advances in Self-Organizing Maps and Learning Vector Quantization, Proceedings of WSOM 2014), volume 295 of Advances in Intelligent Systems and Computing, pp.3-23, 2014.

A. Sadeghi, Convergence in distribution of the multi-dimensional Kohonen algorithm, Journal of Applied Probability, vol.2, issue.01, pp.136-151, 2001.
DOI : 10.1239/aap/1035228132

J. J. Verbeek, N. Vlassis, and B. J. Kröse, Self-organizing mixture models, Neurocomputing, vol.63, pp.99-123, 2005.
DOI : 10.1016/j.neucom.2004.04.008
URL : https://hal.archives-ouvertes.fr/inria-00321479

N. Villa and F. Rossi, A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph, 6th International Workshop on Self-Organizing Maps, pp.10-2390, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00674189