Wrapper function to generate diffusion maps parameters

Usage

params_diffusion_maps(
  bandwidth_scale = 1,
  thresh = 1e-04,
  graph_symmetry = "additive",
  alpha_norm = 1,
  t_max = 100L,
  t_custom = NULL,
  n_landmarks = 2048L,
  landmark_method = "spectral",
  n_svd = NULL
)

Arguments

bandwidth_scale: Numeric. Multiplicative factor applied to the adaptive kernel bandwidth. Defaults to 1.0.
thresh: Numeric. Sparsity threshold applied to kernel entries. Defaults to 1e-4.
graph_symmetry: Character. Method used to symmetrise the affinity graph. One of "additive", "multiplicative", "mnn", or "none". Defaults to "additive".
alpha_norm: Numeric. Anisotropic density-correction exponent in [0, 1]. 0 gives the normalised graph Laplacian, 0.5 the Fokker-Planck operator, 1 the Laplace-Beltrami operator. Defaults to 1.0.
t_max: Integer. Maximum diffusion time considered during automatic selection via Von Neumann entropy knee point detection. Defaults to 100L.
t_custom: Integer or NULL. Fixed diffusion time. When set, overrides automatic time selection. Defaults to NULL.
n_landmarks: Integer or NULL. Number of landmarks for compressed diffusion. When NULL, the full N x N diffusion operator is used. Defaults to 2048L.
landmark_method: Character. Method used to select landmarks. One of "spectral", "random", or "density". Defaults to "spectral".
n_svd: Integer or NULL. Number of SVD components used in landmark construction. When NULL, the library selects a sensible default. Defaults to NULL.

Value

A list with the diffusion maps parameters.