. Author manuscript; available in PMC: 2012 Dec 13.

Published in final edited form as: Proc IEEE Int Symp Biomed Imaging. 2011 Mar;2011:711–714. doi: 10.1109/ISBI.2011.5872505

Table 1.

Comparison of classification performance of algorithms: Sparse (classification algorithm based on dictionary learning and sparse coding), KDA (Kernel Discriminant Analysis), and SVM with linear, quadratic, rbf (Gaussian radial basis function) and polynomial kernels. All units are in %.

	Sparse	KDA	SVM linear	SVM quad	SVM rbf	SVM poly
3-class	90.05	99.12	94.27	91.89	91.44	88.22
4-class	85.87	78.65	90.03	83.47	81.84	82.58