M. Kadar, Data modeling and relational database design in archaeology, Acta Universitatis Apulensis, vol.3, pp.73-80, 2002.

Q. Sun, Q. Xu, and Q. Li, Multidimensional analysis of distributed data warehouse of antiquity information, The Open Cybernetics & Systemics Journal, vol.9, issue.1, 2015.

M. Fortin and B. Lachance, Conception of an integrated system for archaeological excavations, Digital Discovery. Exploring New Frontier In Human Heritage, CAA, pp.459-466, 2006.

A. Oztürk, L. Eyango, S. Yona-waksman, and S. Lallich,

J. Darmont, Warehousing complex archaeological objects, International and Interdisciplinary Conference on Modeling and Using Context, pp.226-239, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01355158

E. H. Ruspini, Numerical methods for fuzzy clustering, Information Sciences, vol.2, issue.3, pp.319-350, 1970.

A. Ronald and . Fisher, The use of multiple measurements in taxonomic problems, Annals of Human Genetics, vol.7, issue.2, pp.179-188, 1936.

J. Benzécri, L'analyse des données, vol.2, 1973.

M. Picon, Le traitement des données d'analyse. PACT, vol.10, pp.379-499, 1984.

. Sylvie-yona-waksman, Etudes de provenance de céramiques, Circulation et Provenance des Matériaux dans les Sociétés Anciennes, pp.195-216, 2014.

P. J. Baldevbhai and R. S. Anand, Color image segmentation for medical images using l* a* b* color space, IOSR Journal of Electronics and Communication Engineering, vol.1, issue.2, pp.24-45, 2012.
DOI : 10.9790/2834-0122445

URL : https://doi.org/10.9790/2834-0122445

J. B. Macqueen, Some methods for classification and analysis of multivariate observations, 5-th Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

B. Mirkin, Clustering for data mining: a data recovery approach, 2005.
DOI : 10.1201/9781420034912

F. Teofilo and . Gonzalez, Clustering to minimize the maximum intercluster distance, Theoretical Computer Science, vol.38, pp.293-306, 1985.

I. Katsavounidis, C. Kuo, and Z. Zhang, A new initialization technique for generalized Lloyd iteration, IEEE Signal Processing Letters, vol.1, issue.10, pp.144-146, 1994.
DOI : 10.1109/97.329844

A. Oztürk, S. Lallich, J. Darmont, and S. Y. Waksman,

, MaxMin linear initialization for fuzzy c-means, Machine Learning and Data Mining in Pattern Recognition, 2018.

W. Wang and Y. Zhang, On fuzzy cluster validity indices. Fuzzy sets and systems, vol.158, pp.2095-2117, 2007.

H. Park and C. Jun, A simple and fast algorithm for K-medoids clustering, Expert Systems with Applications, vol.36, issue.2, pp.3336-3341, 2009.

A. Oztürk, S. Lallich, and J. Darmont, A visual quality index for fuzzy c-means, IFIP Advances in Information and Communication Technology Springer, vol.519, pp.546-555, 2018.