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rdetools (version 1.0)

Relevant Dimension Estimation (RDE) in Feature Spaces

Description

The package provides functions for estimating the relevant dimension of a data set in feature spaces, applications to model selection, graphical illustrations and prediction.

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Version

Install

install.packages('rdetools')

Monthly Downloads

17

Version

1.0

License

GPL-2

Maintainer

Jan Saputra Mueller

Last Published

October 29th, 2012

Functions in rdetools (1.0)

rde_tcm

Relevant Dimension Estimation (RDE) by Fitting a Two-Component Model (TCM)
sincdata

Generate random sinc data
logspace

Logarithmically spaced sequence generation
selectmodel

Model selection
rbfkernel

Calculate RBF kernel matrix
denoiselabels

Denoise labels
sinc

Calculate sinc values
isregression

Estimate from labels whether this is a regression problem
kpr

Kernel projection regression
rdetools-package

Relevant Dimension Estimation (RDE) in Feature Spaces
distimage

Distance image
estnoise

Estimate noise level
drawkpc

Draw kernel pca coefficients
modelimage

Model selection image
rde

Relevant Dimension Estimation (RDE)
polykernel

Calculate polynomial kernel matrix
rde_loocv

Relevant Dimension Estimation (RDE) by Leave-One-Out Cross-Validation (LOO-CV)