Hi,
I would like to suggest to include APIs for Support Vector Data Description.
SVDD is used in many areas for 1-class classification, outliers detection and,
also, multiclass classifications with the possibility for rejecting an unknown
data (if it does not belong to any class). It is more suitable than SVM in some
cases (although it may show worse performance). Extensions for kernel-SVDD are
also available.
Some references:
[1] W. Chang, C. Lee, and C. Lin, A Revisit to Support Vector Data Description
(SVDD).
[2] T. Mu and A. K. Nandi, “Multiclass Classification Based on Extended
Support Vector Data Description,” IEEE Transactions on Systems, Man, and
Cybernetics, Part B: Cybernetics, vol. 39, no. 5, pp. 1206–1216, Oct. 2009.
[3] E. J. Pauwels and O. Ambekar, “One Class Classification for Anomaly
Detection: Support Vector Data Description Revisited,” in Advances in Data
Mining. Applications and Theoretical Aspects, P. Perner, Ed. Springer Berlin
Heidelberg, 2011, pp. 25–39.
[4] D. M. J. Tax and R. P. W. Duin, “Support Vector Data Description,”
Mach. Learn., vol. 54, no. 1, pp. 45–66, Jan. 2004.
Original issue reported on code.google.com by cirelli....@gmail.com on 5 Apr 2014 at 1:01
Original issue reported on code.google.com by
cirelli....@gmail.com
on 5 Apr 2014 at 1:01