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dimRed (version 0.2.3)
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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Install
install.packages('dimRed')
Monthly Downloads
1,587
Version
0.2.3
License
GPL-3 | file LICENSE
Issues
8
Pull Requests
0
Stars
72
Forks
15
Repository
https://github.com/gdkrmr/dimRed
Maintainer
Guido Kraemer
Last Published
May 8th, 2019
Functions in dimRed (0.2.3)
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FruchtermanReingold-class
Fruchterman Reingold Graph Layout
FastICA-class
Independent Component Analysis
DrL-class
Distributed Recursive Graph Layout
LCMC,dimRedResult-method
Method LCMC
LLE-class
Locally Linear Embedding
NNMF-class
Non-Negative Matrix Factorization
PCA-class
Principal Component Analysis
HLLE-class
Hessian Locally Linear Embedding
dimRed-package
The dimRed package
PCA_L1-class
Principal Component Analysis with L1 error.
dimRedData-class
Class "dimRedData"
getRotationMatrix
getRotationMatrix
Q_NX,dimRedResult-method
Method Q_NX
installSuggests
getSuggests
dimRedMethod-class
Class "dimRedMethod"
getOtherData
Method getOtherData
dimRedMethodList
dimRedMethodList
plot_R_NX
plot_R_NX
embed
dispatches the different methods for dimensionality reduction
getData
Method getData
Isomap-class
Isomap embedding
KamadaKawai-class
Graph Embedding via the Kamada Kawai Algorithm
print
Method print
getPars
Method getPars
mixColorRamps
Mixing color ramps
AUC_lnK_R_NX,dimRedResult-method
Method AUC_lnK_R_NX
AutoEncoder-class
AutoEncoder
nMDS-class
Non-Metric Dimensional Scaling
LaplacianEigenmaps-class
Laplacian Eigenmaps
quality,dimRedResult-method
Quality Criteria for dimensionality reduction.
reconstruction_error,dimRedResult-method
Method reconstruction_error
MDS-class
Metric Dimensional Scaling
cophenetic_correlation,dimRedResult-method
Method cophenetic_correlation
as.data.frame
Converts to data.frame
dataSets
Example Data Sets for dimensionality reduction
as.dimRedData
Converts to dimRedData
dimRedResult-class
Class "dimRedResult"
getNDim
Method getNDim
DRR-class
Dimensionality Reduction via Regression
distance_correlation,dimRedResult-method
Method distance_correlation
maximize_correlation,dimRedResult-method
Maximize Correlation with the Axes
mean_R_NX,dimRedResult-method
Method mean_R_NX
getOrgData
Method getOrgData
DiffusionMaps-class
Diffusion Maps
ndims
Method ndims
plot
Plotting of dimRed* objects
total_correlation,dimRedResult-method
Method total_correlation
Q_global,dimRedResult-method
Method Q_global
Q_local,dimRedResult-method
Method Q_local
R_NX,dimRedResult-method
Method R_NX
UMAP-class
Umap embedding
getDimRedData
Method getDimRedData
getMeta
Method getMeta
kPCA-class
Kernel PCA
makeKNNgraph
makeKNNgraph
reconstruction_rmse,dimRedResult-method
Method reconstruction_rmse
tSNE-class
t-Distributed Stochastic Neighborhood Embedding