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dimRed (version 0.2.6)

A Framework for Dimensionality Reduction

Description

A collection of dimensionality reduction techniques from R packages and a common interface for calling the methods.

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Version

Install

install.packages('dimRed')

Monthly Downloads

1,373

Version

0.2.6

License

GPL-3 | file LICENSE

Maintainer

Guido Kraemer

Last Published

July 11th, 2022

Functions in dimRed (0.2.6)

DiffusionMaps-class

Diffusion Maps
AUC_lnK_R_NX,dimRedResult-method

Method AUC_lnK_R_NX
AutoEncoder-class

AutoEncoder
NNMF-class

Non-Negative Matrix Factorization
MDS-class

Metric Dimensional Scaling
LCMC,dimRedResult-method

Method LCMC
dimRedData-class

Class "dimRedData"
HLLE-class

Hessian Locally Linear Embedding
LaplacianEigenmaps-class

Laplacian Eigenmaps
dimRedResult-class

Class "dimRedResult"
getOtherData

Method getOtherData
dimRedMethodList

dimRedMethodList
getOrgData

Method getOrgData
getMeta

Method getMeta
Q_local,dimRedResult-method

Method Q_local
makeKNNgraph

makeKNNgraph
maximize_correlation,dimRedResult-method

Maximize Correlation with the Axes
as.dimRedData

Converts to dimRedData
R_NX,dimRedResult-method

Method R_NX
tSNE-class

t-Distributed Stochastic Neighborhood Embedding
getPars

Method getPars
cophenetic_correlation,dimRedResult-method

Method cophenetic_correlation
getRotationMatrix

getRotationMatrix
reconstruction_error,dimRedResult-method

Method reconstruction_error
getNDim

Method getNDim
dimRedMethod-class

Class "dimRedMethod"
installSuggests

getSuggests
total_correlation,dimRedResult-method

Method total_correlation
kPCA-class

Kernel PCA
dataSets

Example Data Sets for dimensionality reduction
nMDS-class

Non-Metric Dimensional Scaling
PCA-class

Principal Component Analysis
Q_NX,dimRedResult-method

Method Q_NX
ndims

Method ndims
Q_global,dimRedResult-method

Method Q_global
PCA_L1-class

Principal Component Analysis with L1 error.
reconstruction_rmse,dimRedResult-method

Method reconstruction_rmse
as.data.frame

Converts to data.frame
UMAP-class

Umap embedding
quality,dimRedResult-method

Quality Criteria for dimensionality reduction.
print

Method print
dimRed-package

The dimRed package
getData

Method getData
getDimRedData

Method getDimRedData
distance_correlation,dimRedResult-method

Method distance_correlation
embed

dispatches the different methods for dimensionality reduction
plot

Plotting of dimRed* objects
plot_R_NX

plot_R_NX
mean_R_NX,dimRedResult-method

Method mean_R_NX
mixColorRamps

Mixing color ramps
KamadaKawai-class

Graph Embedding via the Kamada Kawai Algorithm
Isomap-class

Isomap embedding
DRR-class

Dimensionality Reduction via Regression
FastICA-class

Independent Component Analysis
FruchtermanReingold-class

Fruchterman Reingold Graph Layout
DrL-class

Distributed Recursive Graph Layout