P. Andras, KERNEL-KOHONEN NETWORKS, International Journal of Neural Systems, vol.12, issue.02, pp.117-135, 2002.
DOI : 10.1142/S0129065702001084

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.7-91257, 2008.
DOI : 10.1016/j.neucom.2007.12.026

URL : https://hal.archives-ouvertes.fr/hal-00202339

G. , D. Battista, P. Eades, R. Tamassia, and I. Tollis, Graph Drawing: Algorithms for the Visualization of Graphs, 1999.
DOI : 10.1007/978-3-642-00219-9

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

R. Kondor and J. Lafferty, Diffusion kernels on graphs and other discrete structures, Proceedings of the 19th International Conference on Machine Learning, pp.315-322, 2002.

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

S. Lehmann and L. Hansen, Deterministic modularity optimization, The European Physical Journal B, vol.435, issue.1, pp.83-88, 2007.
DOI : 10.1140/epjb/e2007-00313-2

D. , 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.

M. Newman, Finding community structure in networks using the eigenvectors of matrices, Physical Review E, vol.74, issue.3, p.74, 2006.
DOI : 10.1103/PhysRevE.74.036104

M. Newman and M. Girvan, Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, p.26113, 2004.
DOI : 10.1103/PhysRevE.69.026113

K. Rose, Deterministic annealing for clustering, compression, classification, regression and related optmization problems, Proceedings of the IEEE, pp.2210-2239, 1998.

F. Rossi and N. Villa, Topologically ordered graph clustering via deterministic annealing, Proceedings of ESANN 2009, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00666602

S. Schaeffer, Graph clustering, Computer Science Review, vol.1, issue.1, pp.27-64, 2007.
DOI : 10.1016/j.cosrev.2007.05.001

N. Villa and F. Rossi, A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph, Proceedings of the 6th Workshop on Self- Organizing Maps (WSOM 07), 2007.
URL : https://hal.archives-ouvertes.fr/hal-00674189

H. Yin, On the equivalence between kernel self-organising maps and self-organising mixture density networks, Neural Networks, vol.19, issue.6-7, pp.780-784, 2006.
DOI : 10.1016/j.neunet.2006.05.007