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 |
dimRedData-class | Class "dimRedData" |
dimRedMethod-class | Class "dimRedMethod" |
dimRedMethodList | dimRedMethodList |
dimRed-package | The dimRed package |
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-class | Principal Component Analysis |
PCA_L1-class | Principal Component Analysis with L1 error. |
plot | Plotting of dimRed* objects |
plot_R_NX | plot_R_NX |
Method print | |
Q_global-dimRedResult-method | Method Q_global |
Q_local-dimRedResult-method | Method Q_local |
Q_NX-dimRedResult-method | Method Q_NX |
quality | Quality Criteria for dimensionality reduction. |
reconstruction_error-dimRedResult-method | Method reconstruction_error |
reconstruction_rmse-dimRedResult-method | Method reconstruction_rmse |
R_NX-dimRedResult-method | Method R_NX |
total_correlation-dimRedResult-method | Method total_correlation |
tSNE-class | t-Distributed Stochastic Neighborhood Embedding |
UMAP-class | Umap embedding |
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