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superMDS (version 1.0.2)

Implements the supervised multidimensional scaling (superMDS) proposal of Witten and Tibshirani (2011)

Description

Witten and Tibshirani (2011) Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Computational Statistics and Data Analysis 55(1): 789-801.

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Version

Install

install.packages('superMDS')

Monthly Downloads

58

Version

1.0.2

License

GPL-2

Maintainer

Daniela Witten

Last Published

December 2nd, 2013

Functions in superMDS (1.0.2)

TrainSuperMDS

Find a set of configuration points that agree with a dissimilarity matrix D and a vector of class labels y
TestSuperMDS

Given the configuration points of a set of training observations, and the dissimilarities between the training and test observations, compute the configuration points for a set of test observations.
superMDS-package

Supervised multidimensional scaling for visualization, classification, and bipartite ranking