K. Anil and . Jain, Data clustering: 50 years beyond k-means, Pattern Recognition Letters, vol.31, issue.8, pp.651-666, 2010.

K. Anil, . Jain, . Murty, J. Patrick, and . Flynn, Data clustering: a review, ACM Computing Surveys (CSUR), vol.31, issue.3, pp.264-323, 1999.

C. Charu, C. K. Aggarwal, and . Reddy, Data Clustering: Algorithms and Applications, 2013.

D. Arthur and S. Vassilvitskii, k-means++: The advantages of careful seeding, Proceedings of the eighteenth annual ACM-SIAM Symposium on Discrete Algorithms, pp.1027-1035, 2007.

W. Zhao, H. Ma, and Q. He, Parallel kmeans clustering based on mapreduce, IEEE International Conference on Cloud Computing, pp.674-679, 2009.

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of the fifth Berkeley Symposium on mathematical statistics and probability, pp.281-297, 1967.

B. S. Sagar, N. Rajesh, S. A. Vardhan, and P. Vardhan, Metric Based on Morphological Dilation for the Detection of Spatially Significant Zones, IEEE Geoscience and Remote Sensing Letters, vol.10, issue.3, pp.500-504, 2013.
DOI : 10.1109/LGRS.2012.2211565

J. Cousty, G. Bertrand, L. Najman, and M. Couprie, Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, pp.1362-1374, 2009.
DOI : 10.1109/TPAMI.2008.173
URL : https://hal.archives-ouvertes.fr/hal-00622410

X. Alexandre, J. Falcão, R. Stolfi, and A. Lotufo, The image foresting transform: Theory, algorithms , and applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.1, pp.19-29, 2004.