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Creating one-class datasets

The first and most important thing for the application of one-class classifiers, is the dataset and its preprocessing. All one-class classifiers require a dataset Matlab object with objects labeled target or outlier. To create a one-class dataset, several functions are supplied: gendatoc, oc_set and target_class. What are the differences between the three?


next up previous contents index
Next: Inspecting one-class datasets Up: Datasets Previous: Datasets   Contents   Index
David M.J. Tax 2006-07-26