cell_cycle | Generate Cell Cycle Data with Noise |
clust_diff_shapes | Generate Clusters with Different Shapes |
clust_diff_shapes_pts | Generate Clusters with Different Shapes and Different Number of Points |
conic_spiral_3d | Generate data points along a conic spiral curve with optional noise. |
conic_spiral_3d_row | Generate points on a conic spiral in 3D space. |
cube_3d | Generate a 3D cube with optional noise. |
curvy_branch | Generate Curvy Branching Clusters with Noise |
curvy_branch_clust | Generate Curvy Branching Cluster Data |
curvy_branch_clust_bkg | Generate Curvy Branching Cluster Data with Background Noise |
curvy_cycle | Generate Curvy Cell Cycle Data with Noise |
curvy_tree | Generate Curvy Tree Data with Noise |
curv_2d | Generate points on a curvilinear 2D manifold |
diff_sphere | Generate data representing small spheres within a larger encompassing sphere with added noise. |
dini_surface_3d | Generate points sampled from the Dini surface with optional noise. |
dini_surface_3d_row | Generate points on a Dini's surface. |
eight_branch | Generate Eight Branching Data with Noise |
four_branch | Generate Four-Branching Data with Noise |
four_long_clust | Generate Four Different Long Clusters with Noise |
four_long_clust_bkg | Generate Four Long Clusters with Background Noise |
gau_clust | Generate synthetic data with Gaussian clusters |
gau_clust_diff | Generate Gaussian Clusters with Different Points |
gau_curvy_clust | Generate Cluster and Curvilinear Data with Noise |
gau_curvy_clust_bkg | Generate Clusters and Curvilinear Data with Noise |
gen_bkg_noise | Generate Background Noise Data |
gen_noise_dims | Generate Random Noise Dimensions |
mirror_scurves | Generate Mirror S-curve Datasets with Noise |
mobius_5d | Generate a 5-D Mobius Strip |
mobius_5d_row | Generate a Single Row for a 5-D Mobius Strip |
mobius_clust | Generate Mobius Cluster with Noise |
mobius_clust_data | Mobius clust dataset with noise dimensions |
mobius_clust_tsne_param1 | tSNE embedding for mobius_clust_data dataset which with noise dimensions tSNE parameters set to perplexity: 15. |
mobius_clust_tsne_param2 | tSNE embedding for mobius_clust_data dataset which with noise dimensions tSNE parameters set to perplexity: 30. |
mobius_clust_tsne_param3 | tSNE embedding for mobius_clust_data dataset which with noise dimensions tSNE parameters set to perplexity: 5. |
mobius_clust_umap_param1 | UMAP embedding for mobius_clust_data dataset which with noise dimensions UMAP parameters set to n-neigbors: 15 and min-dist: 0.1. |
mobius_clust_umap_param2 | UMAP embedding for mobius_clust_data dataset which with noise dimensions UMAP parameters set to n-neigbors: 30 and min-dist: 0.08. |
mobius_clust_umap_param3 | UMAP embedding for mobius_clust_data dataset which with noise dimensions UMAP parameters set to n-neigbors: 5 and min-dist: 0.9. |
nonlinear_2d | Generate points on a nonlinear 2D manifold |
nonlinear_connect | Generate Nonlinear Connected Data with Noise |
nonlinear_mirror | Generate Nonlinear Mirror Data with Noise |
one_doublet | Generate Doublets with Noise |
one_doublet_bkg | Generate Doublets with Background Noise |
one_doublet_diff_patterns | Generate Doublets with Different Pattern Clusters and Noise |
one_doublet_diff_var_clust | Generate Doublets with Different Variance Clusters and Noise |
one_doublet_four_clusts | Generate Doublets with Four Clusters and Noise |
one_grid | Generate Grid Data with Noise |
one_grid_bkg | Generate One Grid with Different Values and Background Noise |
plane | Generate points on a plane in 2D space |
plane_2d_hole | Generate 2D Plane with Hole and Noise |
roman_surface_3d | Generate data points on a Roman surface with optional noise. |
roman_surface_3d_row | Generate points on a Roman surface in 3D space. |
scurve | Generate S-curve Data |
scurve_hole | Generate S-curve Data with a Hole |
seven_branch | Generate Seven-Branching Data with Noise |
sine_curve | Generate Sine Curve Data with Noise |
sphere | Generate Coordinates for a Sphere |
spiral_3d | Generate a spiral dataset with optional noise. |
swiss_roll | Generate Swiss Roll Data |
three_circulars | Generate Three Circular Clusters with Noise |
three_clust_diff_dist | Generate three clusters of data points with optional noise. |
three_clust_mirror | Generate Three Cluster Mirror with Noise |
three_diff_linear | Generate Three Different Linear Data with Noise |
three_doublets | Generate Doublets with Three Clusters and Noise |
three_grid | Generate Three Grids with Noise |
three_long_clust | Generate Three Linear Clusters with Noise |
three_nonlinear | Generate Three Nonlinear Clusters with Noise |
torus_3d | Generate a torus-shaped dataset with optional noise. |
torus_3d_row | Generate a row of data points for a 3D torus. |
tree | Generate Tree-like Data with Noise |
tri_3d | Generate Triangular 3D Datasets with Noise |
tri_plane_bkg | Generate Triangular Plane with Background Noise |
two_circulars | Generate Linked Data |
two_curvilinear | Generate Two Curvilinear Data with Noise |
two_curvy | Generate Two Curvilinear Clusters with Noise |
two_curvy_diff_pts | Generate Two Curvilinear Differentiated Clusters with Noise |
two_curvy_panckakes | Generate Two Curvy Pancakes with Noise |
two_doublets_bkg | Generate Two Doublets with Background Noise |
two_doublets_parallel | Generate Doublets in Parallel with Noise |
two_grid | Generate Two Grids with Noise |
two_grid_comb | Generate One Grid with Different Offset |
two_grid_comb_bkg | Generate Two Grids with Background Noise |
two_long_clust | Generate Long Cluster Data |
two_long_clust_diff | Generate Two Linear Differentiated Clusters with Noise |
two_nonlinear | Generate Two Nonlinear Clusters with Noise |
two_scurves | Generate Two S-curve Datasets with Noise |
two_scurve_hole | Generate Two S-Curve Data with Noise |