Dataset Handling

gendat Random sampling of datasets for training and testing more routines
gensubsets Generation of a consistent series of subsets of a dataset
gendati Generation of random windows from images
gendatk Nearest neighbour data generation
gendatp Parzen density data generation
gendatr Generate regression dataset from data and target values
gendatw Sample dataset by given weigths
prdata Read data from file
seldat Select classes / features / objects from dataset
getwindows Get pixel feature vectors around given pixels in image dataset
prdatasets Overview and download of standard datasets

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: Introduction Scatterplots Datasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reduction Combining classifiers Dissimilarities.
advanced examples.