| dimRed-package | 暗淡的包裹 | ||
| as.data.frame | 转换为数据框 | ||
| as.data.frame-method | “dimredata”类 | ||
| as.data.frame-method | “dimRedResult”类 | ||
| as.dimRedData | 转换为dimRedData | ||
| as.dimRedData-method | 转换为dimRedData | ||
| AUC_lnK_R_NX | 方法filename_points_covered_by_landmarks | ||
| AUC_lnK_R_NX-method | 方法filename_points_covered_by_landmarks | ||
| AutoEncoder | 自动编码器 | ||
| AutoEncoder-class | 自动编码器 | ||
| cophenetic_correlation | 方法filename_points_covered_by_landmarks | ||
| cophenetic_correlation-method | 方法filename_points_covered_by_landmarks | ||
| dataSetList | 用于降维的示例数据集 | ||
| dataSets | 用于降维的示例数据集 | ||
| DiffusionMaps | 扩散图 | ||
| DiffusionMaps-class | 扩散图 | ||
| dimRed | 暗淡的包裹 | ||
| dimRedData | “dimredata”类 | ||
| dimRedData-class | “dimredata”类 | ||
| dimRedMethod-class | 类“dimRedMethod” | ||
| dimRedMethodList | dimRedMethodList方法列表 | ||
| dimRedQualityList | 降维的质量标准。 | ||
| dimRedResult | “dimRedResult”类 | ||
| dimRedResult-class | “dimRedResult”类 | ||
| distance_correlation | 方法filename_points_covered_by_landmarks | ||
| distance_correlation-method | 方法filename_points_covered_by_landmarks | ||
| DrL | 分布式递归图布局 | ||
| DrL-class | 分布式递归图布局 | ||
| DRR | 回归降维 | ||
| DRR-class | 回归降维 | ||
| embed | 调度不同的降维方法 | ||
| embed-method | 调度不同的降维方法 | ||
| FastICA | 独立成分分析 | ||
| FastICA-class | 独立成分分析 | ||
| FruchtermanReingold | Fruchterman Reingold图形布局 | ||
| FruchtermanReingold-class | Fruchterman Reingold图形布局 | ||
| getData | 方法getData | ||
| getData-method | “dimredata”类 | ||
| getDimRedData | 方法getdimredata | ||
| getDimRedData-method | “dimRedResult”类 | ||
| getMeta | 方法getMeta | ||
| getMeta-method | “dimredata”类 | ||
| getNDim | 方法getNDim | ||
| getNDim-method | “dimRedResult”类 | ||
| getOrgData | 方法getOrgData | ||
| getOrgData-method | “dimRedResult”类 | ||
| getOtherData | 方法getOtherData | ||
| getOtherData-method | “dimRedResult”类 | ||
| getPars | 方法getPars | ||
| getPars-method | “dimRedResult”类 | ||
| getRotationMatrix | 获取旋转矩阵 | ||
| HLLE | Hessian局部线性嵌入 | ||
| HLLE-class | Hessian局部线性嵌入 | ||
| installSuggests | GetSuggers公司 | ||
| inverse | “dimRedResult”类 | ||
| inverse-method | “dimRedResult”类 | ||
| Isomap | 等值线图嵌入 | ||
| Isomap-class | 等值线图嵌入 | ||
| KamadaKawai | 基于Kamada-Kawai算法的图嵌入 | ||
| KamadaKawai-class | 基于Kamada-Kawai算法的图嵌入 | ||
| kPCA | 核的主分量分析 | ||
| kPCA-class | 核的主分量分析 | ||
| LaplacianEigenmaps | 拉普拉斯特征映射 | ||
| LaplacianEigenmaps-class | 拉普拉斯特征映射 | ||
| LCMC | 方法LCMC | ||
| LCMC-method | 方法LCMC | ||
| LLE | 局部线性嵌入 | ||
| LLE-class | 局部线性嵌入 | ||
| loadDataSet | 用于降维的示例数据集 | ||
| makeKNNgraph | makekngraph公司 | ||
| maximize_correlation | 最大化与轴的相关性 | ||
| maximize_correlation-method | 最大化与轴的相关性 | ||
| MDS | 公制尺寸缩放 | ||
| MDS-class | 公制尺寸缩放 | ||
| mean_R_NX | 方法filename_points_covered_by_landmarks | ||
| mean_R_NX-method | 方法filename_points_covered_by_landmarks | ||
| mixColor1Ramps | 混合色渐变 | ||
| mixColor2Ramps | 混合色渐变 | ||
| mixColor3Ramps | 混合色渐变 | ||
| mixColorRamps | 混合色渐变 | ||
| ndims | 方法ndims | ||
| ndims-method | “dimredata”类 | ||
| ndims-method | “dimRedResult”类 | ||
| nMDS | 非度量尺度 | ||
| nMDS-class | 非度量尺度 | ||
| NNMF | 非负矩阵分解 | ||
| NNMF-class | 非负矩阵分解 | ||
| nrow-method | “dimredata”类 | ||
| PCA | 主成分分析 | ||
| PCA-class | 主成分分析 | ||
| PCA_L1 | 具有L1误差的主成分分析。 | ||
| PCA_L1-class | 具有L1误差的主成分分析。 | ||
| plot | 绘制dimRed*对象 | ||
| plot-method | 绘制dimRed*对象 | ||
| plot.dimRed | 绘制dimRed*对象 | ||
| plot.dimRedData | 绘制dimRed*对象 | ||
| plot.dimRedResult | 绘制dimRed*对象 | ||
| plot_R_NX | filename_points_covered_by_landmarks | ||
| predict-method | “dimRedResult”类 | ||
| 方法打印 | |||
| print-method | “dimRedResult”类 | ||
| quality | 降维的质量标准。 | ||
| quality-method | 降维的质量标准。 | ||
| quality.dimRedResult | 降维的质量标准。 | ||
| Q_global | 方法filename_points_covered_by_landmarks | ||
| Q_global-method | 方法filename_points_covered_by_landmarks | ||
| Q_local | 方法filename_points_covered_by_landmarks | ||
| Q_local-method | 方法filename_points_covered_by_landmarks | ||
| Q_NX | 方法filename_edges_strength | ||
| Q_NX-method | 方法filename_edges_strength | ||
| reconstruction_error | 方法filename_points_covered_by_landmarks | ||
| reconstruction_error-method | 方法filename_points_covered_by_landmarks | ||
| reconstruction_rmse | 方法filename_points_covered_by_landmarks | ||
| reconstruction_rmse-method | 方法filename_points_covered_by_landmarks | ||
| R_NX | 方法filename_edges_strength | ||
| R_NX-method | 方法filename_edges_strength | ||
| total_correlation | 方法filename_points_covered_by_landmarks | ||
| total_correlation-method | 方法filename_points_covered_by_landmarks | ||
| tSNE | t分布随机邻域嵌入 | ||
| tSNE-class | t分布随机邻域嵌入 | ||
| UMAP | Umap嵌入 | ||
| UMAP-class | Umap嵌入 | ||
| [-method | “dimredata”类 |