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