References [Bobe 93] Boberg J., Salakoski T., "General formulation and evaluation of agglomerative clustering methods with metric and non-metric distances," Pattern Recognition, Vol. 26(9):1395­1406, 1993. [Guat 98] Guattery S., Miller G.L., "On the quality of spectral separators," SIAM Journal of Matrix Analysis and Applications, Vol. 19(3):701­719, 1998. [Keer 01] Keerthi S.S., Shevade S.K., Bhattacharyya C., Murthy K.R.K., "Improvements to Platt's SMO Algorithm for SVM Classifier Design," Neural Computation, Vol. 13(3):637­649, 2001. [Luxb 07] Luxburg U., "A tutorial on Spectral Clustering," Statistics and Computing, Vol. 17(4): 395­416, 2007. [Meas 08] Mease D., Wyner A. "Evidence contrary to the statistical view of boosting," Journal of Machine Learning Research, Vol. 9:131­156, 2008. [Petr 06] Petrou M., Sevilla P.G., Image Processing: Dealing with Texture, John Wiley & Sons, 2006. [Shi 00] Shi J., Malik J., "Normalized cuts and edge segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22(8):888­905, 2000. [Theo 09] Theodoridis S., Koutroumbas K. Pattern Recognition, 4th ed., Academic Press, 2009.