AUC_lnK_R_NX,dimRedResult-method
                        Method AUC_lnK_R_NX
DRR-class               Dimensionality Reduction via Regression
DiffusionMaps-class     Diffusion Maps
DrL-class               Distributed Recursive Graph Layout
FastICA-class           Independent Component Analysis
FruchtermanReingold-class
                        Fruchterman Reingold Graph Layout
HLLE-class              Hessian Locally Linear Embedding
Isomap-class            Isomap embedding
KamadaKawai-class       Graph Embedding via the Kamada Kawai Algorithm
LCMC,dimRedResult-method
                        Method LCMC
MDS-class               Metric Dimensional Scaling
NNMF-class              Non-Negative Matrix Factorization
PCA-class               Principal Component Analysis
PCA_L1-class            Principal Component Analysis with L1 error.
Q_NX,dimRedResult-method
                        Method Q_NX
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
as.data.frame           Converts to data.frame
as.dimRedData           Converts to dimRedData
cophenetic_correlation,dimRedResult-method
                        Method cophenetic_correlation
dataSets                Example Data Sets for dimensionality reduction
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
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              Kernel PCA
makeKNNgraph            makeKNNgraph
maximize_correlation,dimRedResult-method
                        Maximize Correlation with the Axes
mean_R_NX,dimRedResult-method
                        Method mean_R_NX
mixColorRamps           Mixing color ramps
nMDS-class              Non-Metric Dimensional Scaling
ndims                   Method ndims
plot                    Plotting of dimRed* objects
plot_R_NX               plot_R_NX
print                   Method print
quality,dimRedResult-method
                        Quality Criteria for dimensionality reduction.
reconstruction_error,dimRedResult-method
                        Method reconstruction_error
reconstruction_rmse,dimRedResult-method
                        Method reconstruction_rmse
tSNE-class              t-Distributed Stochastic Neighborhood Embedding
total_correlation,dimRedResult-method
                        Method total_correlation
