Department of Informatics, Nicolaus Copernicus University,
Grudziadzka 5, 87-100 Torun, Poland.
Intelligent Information Systems VII, Malbork, Poland, 15-19.06.1998, pp. 288-291
A general framework for similarity-based (SB) classification methods is presented. Neural networks, such as the Radial Basis Function (RBF) and the Multilayer Perceptrons (MLPs) models, are special cases of SB methods. Many new versions of minimal distance methods are derived from this framework.
Paper in PDF, 55 kB
Projects on similar subject and BACK to the on-line publications of W. Duch.