Man pages for bbuchsbaum/discursive
What the Package Does (One Line, Title Case)
| allda | Adaptive Local Linear Discriminant Analysis (ALLDA) |
| apply_pca | Apply PCA for Null Space Removal |
| between_class_scatter | Calculate Between-Class Scatter Matrix (via C++) |
| binary_between_scatter | Calculate Binary Between-Class Scatter Matrix |
| compute_diversity_graph | Compute the manual diversity graph D (Eq. (7) in the paper) |
| compute_similarity_graph | Compute the manual similarity graph S (Eq. (4) in the paper) |
| DGPAGE | DGPAGE: Discriminative and Geometry-Preserving Adaptive Graph... |
| dgpage_discriminant | Fit DGPAGE and return a discriminant_projector |
| dgpage_fit | Fit the DGPAGE model (Algorithm 1, Eqs. (12), (18), (23) in... |
| dgpage_predict | Predict labels using a trained DGPAGE model via 1-NN... |
| dot-approximate_covariance | Approximate Covariance as U_i Lambda_i U_i^T + sigma^2 I... |
| dot-cluster_each_class | Cluster each class into multiple clusters |
| dot-multiply_sigma_B | Multiply approximate covariance by B Sigma_i = U_i Lambda_i... |
| dot-pca_reduce_data | PCA-based Dimensionality Reduction |
| dot-safe_invert | Safely invert a matrix, fallback to pseudo-inverse if needed |
| dtrda | Discriminant analysis with Trace Regularization (DTR) |
| fastolda | Fast Orthogonal LDA |
| geneig | generalized eigenvalue decomposition |
| gmmsd | Generalized Multiple Maximum Scatter Difference (GMMSD) |
| group_means | Compute Group Means |
| initialize_parameters | Initialize Parameters for ALLDA |
| moda_full | Multimodal Oriented Discriminant Analysis (MODA) - Complete &... |
| olda | Orthogonal Linear Discriminant Analysis |
| pairwise_within_scatter | Calculate Pairwise Within-Class and Between-Class Scatter for... |
| pca_lda | PCA followed by Linear Discriminant Analysis |
| pooled_scatter | Calculate Pooled Scatter (Within-Class Scatter) Matrix |
| predict.dgpage_projector | Predict method for a 'dgpage_projector' object |
| shrinkage_da | Shrinkage Discriminant Analysis |
| slrr | Sparse or Ridge Low-Rank Regression (SLRR / LRRR) |
| soft_lda | Partially Supervised LDA with Soft Labels (Robust Version) |
| soft_lr | Partially Supervised Logistic Regression with Soft Labels... |
| solde_tr | Stable and Orthogonal Local Discriminant Embedding using... |
| total_scatter | Calculate Total Scatter Matrix |
| trace_ratio | Trace Ratio Optimization Returning a Discriminant Projector |
| ulda | Uncorrelated Linear Discriminant Analysis (ULDA) |
| update_laplacian | Update Laplacian Matrix |
| update_similarity | Update Similarity Matrix S |
| update_W | Update Transformation Matrix W |
| weighted_group_means | Compute Weighted Group Means |
| whm_lda | Weighted Harmonic Mean of Trace Ratios for Multiclass... |
| within_class_scatter | Calculate Within-Class Scatter Matrix (via C++) |
| wMLDA | Weighted Multi-label Linear Discriminant Analysis (wMLDA) |
