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All functions

AUC_lnK_R_NX(<dimRedResult>)
Method AUC_lnK_R_NX
AutoEncoder-class AutoEncoder
AutoEncoder
DRR-class DRR
Dimensionality Reduction via Regression
DiffusionMaps-class DiffusionMaps
Diffusion Maps
DrL-class DrL
Distributed Recursive Graph Layout
FastICA-class FastICA
Independent Component Analysis
FruchtermanReingold-class FruchtermanReingold
Fruchterman Reingold Graph Layout
HLLE-class HLLE
Hessian Locally Linear Embedding
Isomap-class Isomap
Isomap embedding
KamadaKawai-class KamadaKawai
Graph Embedding via the Kamada Kawai Algorithm
LCMC(<dimRedResult>)
Method LCMC
LaplacianEigenmaps-class LaplacianEigenmaps
Laplacian Eigenmaps
MDS-class MDS
Metric Dimensional Scaling
NNMF-class NNMF
Non-Negative Matrix Factorization
PCA-class PCA
Principal Component Analysis
PCA_L1-class PCA_L1
Principal Component Analysis with L1 error.
Q_NX(<dimRedResult>)
Method Q_NX
Q_global(<dimRedResult>)
Method Q_global
Q_local(<dimRedResult>)
Method Q_local
R_NX(<dimRedResult>)
Method R_NX
UMAP-class UMAP
Umap embedding
as.data.frame()
Converts to data.frame
as.dimRedData()
Converts to dimRedData
cophenetic_correlation(<dimRedResult>)
Method cophenetic_correlation
loadDataSet() dataSetList()
Example Data Sets for dimensionality reduction
dimRed dimRed-package
The dimRed package
as.data.frame(<dimRedData>) getData(<dimRedData>) getMeta(<dimRedData>) nrow(<dimRedData>) `[`(<dimRedData>,<ANY>,<ANY>,<ANY>) ndims(<dimRedData>)
Class "dimRedData"
dimRedMethod-class
Class "dimRedMethod"
dimRedMethodList()
dimRedMethodList
predict(<dimRedResult>) inverse(<dimRedResult>) as.data.frame(<dimRedResult>) getPars(<dimRedResult>) getNDim(<dimRedResult>) print(<dimRedResult>) getOrgData(<dimRedResult>) getDimRedData(<dimRedResult>) ndims(<dimRedResult>) getOtherData(<dimRedResult>)
Class "dimRedResult"
distance_correlation(<dimRedResult>)
Method distance_correlation
embed()
dispatches the different methods for dimensionality reduction
getData()
Method getData
getDimRedData()
Method getDimRedData
getMeta()
Method getMeta
getNDim()
Method getNDim
getOrgData()
Method getOrgData
getOtherData()
Method getOtherData
getPars()
Method getPars
getRotationMatrix()
getRotationMatrix
installSuggests()
getSuggests
kPCA-class kPCA
Kernel PCA
makeKNNgraph()
makeKNNgraph
maximize_correlation(<dimRedResult>)
Maximize Correlation with the Axes
mean_R_NX(<dimRedResult>)
Method mean_R_NX
mixColorRamps() mixColor1Ramps() mixColor2Ramps() mixColor3Ramps()
Mixing color ramps
nMDS-class nMDS
Non-Metric Dimensional Scaling
ndims()
Method ndims
plot()
Plotting of dimRed* objects
plot_R_NX()
plot_R_NX
print()
Method print
quality(<dimRedResult>) dimRedQualityList()
Quality Criteria for dimensionality reduction.
reconstruction_error(<dimRedResult>)
Method reconstruction_error
reconstruction_rmse(<dimRedResult>)
Method reconstruction_rmse
tSNE-class tSNE
t-Distributed Stochastic Neighborhood Embedding
total_correlation(<dimRedResult>)
Method total_correlation