International Journal of Applied Mathematics and Computer Science > 2012 > 22 > 4 > 939-949
Source
Abstract
Identifiers
journal ISSN : | 1641-876X |
journal e-ISSN : | 2083-8492 |
DOI | 10.2478/v10006-012-0070-1 |
Authors
Keywords
Additional information
Publisher
Fields of science
Bibliography
-
Aizerman, M., Braverman, E. and Rozonoer, L. (1964). Theoretical foundations of the potential function method in pattern recognition, Automation and Remote Control 25: 821-837.
-
Alpaydin, E. (2010). Introduction to Machine Learning, The MIT Press, Cambridge, MA.
-
Barshan, E., Ghodsi, A., Azimifar, Z. and Jahromi, M.Z. (2011). Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds, Pattern Recognition 44(7): 1357-1371.