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Notes and references


[1] Ng, A. Y., Jordan, M. I., & Weiss, Y. (2002). On spectral clustering: Analysis and an algorithm. Advances in neural information processing systems, 2, pages 849-856.

[2] Perona, P. and Freeman, W. (1998). A factorization approach to grouping. In European Conference on Computer Vision, pages 655-670

[3] Shi, J and Malik, J. (2000). Normalized cuts and image segmentation. In PAMI, Transactions on Pattern Analysis and Machine Intelligence, pages 888-905

[4]Von Luxburg, U. (2007). A Tutorial on Spectral Clustering. Statistics and Computing, Volume 17(4), pages 395-416

[5] Sanchez-Garcia, R., Fernnelly, M. and al. (2014). Hierarchical Spectral Clustering of Power Grids. In IEEE Transaction on Power Systems 29.5, pages 2229-2237. ISSN : 0885-8950.

[6] Grassi, K. (2020) Definition multivariee et multi-echelle d'etats environnementaux par Machine Learning : Caracterisation de la dynamique phytoplanctonique. Doctoral thesis manuscript defended on November 19, 2020.