Man pages for dimRed
A Framework for Dimensionality Reduction
| as.data.frame | Converts to data.frame |
| as.dimRedData | Converts to dimRedData |
| AUC_lnK_R_NX-dimRedResult-method | Method AUC_lnK_R_NX |
| 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 |
| 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 |
