prex_cleval | learning curves | more routines |
prex_combining | classifier combining | |
prex_confmat | confusion matrix, scatterplot and gridsize | |
prex_datafile | datafile usage | |
prex_datasets | standard datasets | |
prex_density | Various density plots | |
prex_eigenfaces | Use of images and eigenfaces | |
prex_matchlab | K-means clustering and matching labels | |
prex_mcplot | Multi-class classifier plot | |
prex_plotc | Dataset scatter and classifier plot | |
prex_som | Training a SelfOrganizing Maps | |
prex_spatm | Spatial smoothing of image classification | |
prex_cost | Cost matrices and rejection | |
prex_logdens | Density based classifier improvement | |
prex_soft | Soft label example | |
prex_regr | Regression example |
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.