Key parameters
Main hyperparameters that influence search and clustering.
| Parameter | Effect | Reference |
|---|---|---|
base_2d_rays | Controls angular resolution in 2D (default 32). 3D scales to ~34; higher dimensions use subspaces. | ModalBoundaryClustering |
direction | Selects scan direction to locate the inflection point: center_out or outside_in. | ModalBoundaryClustering |
scan_radius_factor, scan_steps | Set size and resolution of the radial scan around seed points. | ModalBoundaryClustering |
optim_method | Choose between gradient_ascent (default) or trust_region_newton for local maximisation. | ShuShu |
grad_* | Hyperparameters for gradient ascent (rate, iterations, tolerances); used when optim_method="gradient_ascent". | ShuShu |
max_subspaces | Maximum number of subspaces considered when dimensionality > 3. | SubspaceScout |
density_alpha, density_k | Optional density penalty using HNSW k‑NN to keep centres inside the data cloud; disable with density_alpha=0. | ModalBoundaryClustering |
Defaults favour speed; see Highlights for performance tips and Limitations for known constraints.