F. Badran, M. Yacoub, and S. Thiria, Self-Organizing Maps and Unsupervised Classification, Neural Networks: methodology and applications, G. Dreyfus, pp.379-442, 2005.
DOI : 10.1007/3-540-28847-3_7

H. Bock, Clustering algorithms and Kohonen maps for symbolic data, Journal of the Japanese Society of Computational Statistics, vol.15, pp.1-13, 2002.

H. H. Bock and E. Diday, Analysis of Symbolic Data, Exploratory methods for extracting statistical information from complex data, 2000.

L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen, Classification and Regression Trees, 1984.

M. Chavent and J. Saracco, On Central Tendency and Dispersion Measures for Intervals and Hypercubes, Communications in Statistics - Theory and Methods, vol.15, issue.9, pp.1471-1482, 2008.
DOI : 10.1109/21.286391
URL : https://hal.archives-ouvertes.fr/hal-00273170

D. Carvalho, F. A. Pacifico, and L. D. , Une version batch de l'algorithme SOM pour des données de type intervalle, Actes des XVIIIème Rencontres de la Société Francophone de Classification (SFC-2011), pp.99-102, 2011.

E. Diday and G. Et-govaert, Classification Automatique avec Distances Adaptatives, R.A.I.R.O. Informatique Computer Science, vol.11, pp.329-349, 1977.

E. Diday and M. Noirhomme-fraiture, Symbolic Data Analysis and the Sodas Software, 2008.
DOI : 10.1002/9780470723562
URL : https://hal.archives-ouvertes.fr/hal-00360487

D. 'urso, P. De-giovanni, and L. , Midpoint radius self-organizing maps for intervalvalued data with telecommunications application, Applied Soft Computing, vol.11, pp.3877-3886, 2011.

D. S. Guru, B. B. Kiranagi, and P. Nagabhushan, Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns, Pattern Recognition Letters, vol.25, issue.10, pp.1203-1213, 2004.
DOI : 10.1016/j.patrec.2004.03.016

C. Hajjar and H. Hamdan, Self-organizing map based on L2 distance for intervalvalued data, Proceedings of the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI-2011), pp.317-322, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00627273

C. Hajjar and H. Hamdan, Self-organizing map based on city-block distance for interval-valued data. in Complex sytems desing & management, Proceedings of the second international conference oncomplex systems & design (CSDM2-2011), pp.181-292, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00658972

L. Hubert and P. Arabie, Comparing partitions, Journal of Classification, vol.78, issue.1, pp.193-218, 1985.
DOI : 10.1007/BF01908075

A. K. Jain, M. N. Murty, and P. J. Flynn, Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.31-264, 1999.
DOI : 10.1145/331499.331504