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