REFRENCES
[1] Ashish Ghosh and Lakhmi C.(2005) “Study in fuzziness and Soft Computing : Evolutionary Computation in Data Mining, Germany pp 95 – 97 http://books.google.com.my/books?id=Caevy3rrjPUC&pg=PA96&lpg=PA96&dq=class+1+in+wine+dataset+means&source=bl&ots=nz6w8qLOWT&sig=pVbgVXgY94rutQbYeiP0irjRJrk&hl=en&ei=hYtSTZz3NIKzrAf_-YTXCA&sa=X&oi=book_result&ct=result&resnum=2&ved=0CBgQ6AEwAQ#v=onepage&q=wine&f=false
Accessed 8th Febuary 2011
[2] Changjie Tan, Charles X. Ling Xiaofang Zhou, Nick J. Cercone and Xue Li (Eds),
(2008), “Advanced Data Mining and Application ” 4th International Confrence, ADMA, Chendu, China proceedings
[3] Chih-Wei Hsu And Chih-Jen Lin (2002), “A Comparism Of Methods For Multiclass Support Vector Machine” IEEE Transactions On Neural Networks, Vol. 13, No. 2, March 2002
Accessed: 8th February, 2010
[4] Dan Ventura (2009) “SVM Examples” http://axon.cs.byu.edu/Dan/678/miscellaneous/SVM.example.pdf
Accessed: 8th February, 2010
[5] Electrical engineering training series “variation in ionosphere”
Accessed: 8th February, 2010
[6] Johns Hopkins University Ionosphere Database
Accessed: 8th February, 2010
[7] Kaibo Duan & S. Sathiya Keerthi, “What is the best multiclass SVM method? An Empirical study” Control Division, Department of Mechanical Engineering National University of Singapore, Singapore 119260
Accessed: 8th February, 2010
[8] Luis Castillo, Antonio Gonzalez and Raul Perez (2001) “Including a simplicity criterion in the selection of the best rule in genetic fuzzy learning algorithm”
Accessed: 8th February, 2010
[9] UCI: Machine Learning Respository, “Wine Datset” (2001)
Accessed: 8th February, 2010
[10] Siddharth Gupta, VEena Padmanabhan, Heather ojnston and Grant Lee (2005) “SUPPORT VECTOR MACHINES”, Version 1.2: Dec 23, 2005 US/Central
http://creativecommons.org/licenses/by/2.0/
http://creativecommons.org/licenses/by/2.0/
[11] Figure 1: Ionosphere components
[12] Figure 1: Multiclass Classification
[13] Picture:Wine classification
http://www.topdoglimobus.com/temecula_wine_tours.htm