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 |