Visualizing Classification Results by Classmaps

Tools to visualize the results of a classification obtained by discriminant analysis, k-nearest neighbors, and support vector machines, for two or more classes. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, to appear. In addition to class maps, also stacked plots are made. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples" and "Support_vector_machine_examples".


Reference manual

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1.0.0 by Jakob Raymaekers, a month ago

Browse source code at

Authors: Jakob Raymaekers [aut, cre] , Peter Rousseeuw [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra

Suggests knitr, reshape2, svd

See at CRAN