| PRTools |  |
| A Matlab toolbox for pattern recognition | Imported pages from 37Steps |
Classifiers – Linear and Quadratic
| fisherc | Minimum least square linear classifier | more routines |
| ldc | Normal densities based linear (multi-class) classifier | |
| loglc | Logistic linear classifier | |
| nmc | Nearest mean linear classifier | |
| nmsc | Scaled nearest mean linear classifier | |
| qdc | Normal densities based quadratic (multi-class) classifier | |
| udc | Uncorrelated normal densities based quadratic classifier | |
| statslinc | Statistical toolbox linear classifier |
elements: datasets datafiles cells and doubles mappings classifiers mapping types.
operations:datasets datafiles cells and doubles mappings classifiers stacked parallel sequential dyadic.
user commands:datasets representation classifiers evaluation clustering examples support routines.
introductory examples:IntroductionScatterplotsDatasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reductionCombining classifiers Dissimilarities.
advanced examples.