M. Donald, D. Fyfe, and C. , The kernel self organising map, Proceedings of 4th International Conference on knowledge-based intelligence engineering systems and applied technologies, pp.317-320, 2000.

K. Lau, H. Yin, and S. Hubbard, Kernel self-organising maps for classification, Neurocomputing, vol.69, issue.16-18, pp.2033-2040, 2006.
DOI : 10.1016/j.neucom.2005.10.003

R. Boulet, B. Jouve, F. Rossi, and N. Villa, Batch kernel SOM and related Laplacian methods for social network analysis, Neurocomputing, vol.71, issue.7-9, pp.7-9, 2008.
DOI : 10.1016/j.neucom.2007.12.026
URL : https://hal.archives-ouvertes.fr/hal-00202339

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

M. Olteanu and N. Villa-vialaneix, On-line relational and multiple relational SOM Forthcoming, Neurocomputing, 2013.
DOI : 10.1016/j.neucom.2013.11.047
URL : https://hal.archives-ouvertes.fr/hal-01063831/file/olteanu_villavialaneix_N2015.pdf

M. Olteanu, N. Villa-vialaneix, and C. Cierco-ayrolles, Multiple kernel selforganizing maps, XXIst European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp.6-83, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00817920

S. Massoni, M. Olteanu, and N. Villa-vialaneix, Which distance use when extracting typologies in sequence analysis? An application to school to work transitions, International Work Conference on Artificial Neural Networks (IWANN 2013), 2013.

D. Hofmann and B. Hammer, Sparse approximations for kernel learning vector quantization, Proceedings of XXIst European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp.6-549, 2013.

N. Aronszajn, Theory of reproducing kernels, Transactions of the American Mathematical Society, vol.68, issue.3, pp.337-404, 1950.
DOI : 10.1090/S0002-9947-1950-0051437-7

A. Smola and R. Kondor, Kernels and Regularization on Graphs, Proceedings of the Conference on Learning Theory (COLT) and Kernel Workshop, pp.144-158, 2003.
DOI : 10.1007/978-3-540-45167-9_12
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.7020

L. Petrakieva and C. Fyfe, Bagging and bumping self organising maps, Computing and Information Systems Journal, vol.9, pp.69-77, 2003.

B. Vrusias, L. Vomvoridis, and L. Gillam, Distributing SOM Ensemble Training using Grid Middleware, 2007 International Joint Conference on Neural Networks, pp.2712-2717, 2007.
DOI : 10.1109/IJCNN.2007.4371387

B. Baruque and E. Corchado, Fusion methods for unsupervised learning ensembles, Studies in Computational Intelligence, vol.322, 2011.
DOI : 10.1007/978-3-642-16205-3

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 (WSOM), 2007.
URL : https://hal.archives-ouvertes.fr/hal-00674189

G. Polzlbauer, Survey and comparison of quality measures for self-organizing maps, Proceedings of the Fifth Workshop on Data Analysis, pp.67-82, 2004.

J. Mcauley and J. Leskovec, Learning to discover social circles in ego networks, In: NIPS Workshop on Social Network and Social Media Analysis, 2012.

F. Rossi and N. Villa-vialaneix, Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach, Neurocomputing, vol.73, issue.7-9, pp.1142-1163, 2010.
DOI : 10.1016/j.neucom.2009.11.023
URL : https://hal.archives-ouvertes.fr/hal-00515892

F. Fouss, A. Pirotte, J. Renders, and M. Saerens, Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation, IEEE Transactions on Knowledge and Data Engineering, vol.19, issue.3, pp.355-369, 2007.
DOI : 10.1109/TKDE.2007.46

U. Von-luxburg, A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007.
DOI : 10.1007/s11222-007-9033-z

L. Danon, A. Diaz-guilera, J. Duch, and A. Arenas, Comparing community structure identification, Journal of Statistical Mechanics: Theory and Experiment, vol.2005, issue.09, p.9008, 2005.
DOI : 10.1088/1742-5468/2005/09/P09008
URL : http://arxiv.org/abs/cond-mat/0505245

M. Newman and M. Girvan, Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, pp.69-026113, 2004.
DOI : 10.1103/PhysRevE.69.026113

T. Fruchterman and B. Reingold, Graph drawing by force-directed placement. Software , Practice and Experience, pp.1129-1164, 1991.