[1] Pham-Gia, T., Turkkan, N. and Vovan, T. (2008) Statistical Discrimination Analysis Using the Maximum Function, Communic. in Stat., Computation and Simulation, 37, 320-336. http://dx.doi.org/10.1080/03610910701790475
[2] Vovan, T. and Pham-Gia, T. (2010) Clustering Probability Densities. Journal of Applied Statistics, 37, 1891-1910.
[3] Duda, R.O., Hart, P.E. and Stork, D.G. (2001) Pattern Classification. John Wiley and Sons, New York.
[4] Johnson and Wichern (1998) Applied Multivariate Statistical Analysis. 4th Edition, Prentice-Hall, New York. http://dx.doi.org/10.2307/2533879
[5] Gonzalez, R.C., Woods, R.E. and Eddins, S.L. (2004) Digital Image Processing with Matllab. Prentice-Hall, New York.
[6] Glick, N. (1972) Sample-Based Classification Procedures Derived from Density Estimators. Journal of the American Statistical Association, 67, 116-122. http://dx.doi.org/10.1080/01621459.1972.10481213
[7] Glick, N. (1973) Separation and Probability of Correct Classification among Two or More Distributions. Annals of the Institute of Statistical Mathematics, 25, 373-382. http://dx.doi.org/10.1007/BF02479383
[8] Fukunaga (1990) Introduction to Statistical Pattern Recognition. 2nd Edition, Academic Press, New York.
[9] Fisher, R.A. (1936) The Statistical Utilization of Multiple Measurements. Annals of Eugenic, 7, 376-386.
[10] Flury, B. and Riedwyl, H. (1988) Multivariate Statistics. Chapman and Hall, New York. http://dx.doi.org/10.1007/978-94-009-1217-5
[11] Martinez, W.L. and Martinez, A.R. (2002) Computational Statistics Handbook with Matlab. Chapman & Hall/CRC, Boca Raton.