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
LLE-class               Locally Linear Embedding
LaplacianEigenmaps-class
                        Laplacian Eigenmaps
MDS-class               Metric Dimensional Scaling
PCA-class               Principal Component Analysis
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
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
getOrgData              Method getOrgData
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
