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Wrapper function for the diffusion kernel parameters

params_kernel.Rd

These are parameters for the graph diffusion kernels. Not all parameters are used by all kernels, please see Details.

Usage

params_kernel(sigma2 = 1, add_diag = 1, a = 3, p = 5L)

Arguments

sigma2

Numeric. Bandwidth parameter controlling the extent of diffusion. Used by regularised_laplacian and diffusion kernels. Defaults to 1.0.

add_diag

Numeric. Regularisation term added to the diagonal. Used by regularised_laplacian. Must be positive for every connected component to be invertible. Defaults to 1.0.

a

Numeric. Regularisation parameter for the pstep kernel. Must be >= 2, since the eigenvalues of the normalised Laplacian sit in [0, 2]. Defaults to 3.0.

p

Integer. Number of steps for the pstep kernel. Must be positive. Defaults to 5L.

Value

A named list with the following elements:

  • sigma2 - Numeric. Bandwidth parameter controlling the extent of diffusion. Used by regularised_laplacian and diffusion kernels. Defaults to 1.0.

  • add_diag - Numeric. Regularisation term added to the diagonal. Used by regularised_laplacian. Must be positive for every connected component to be invertible. Defaults to 1.0.

  • a - Numeric. Regularisation parameter for the pstep kernel. Must be >= 2, since the eigenvalues of the normalised Laplacian sit in [0, 2]. Defaults to 3.0.

  • p - Integer. Number of steps for the pstep kernel. Must be positive. Defaults to 5L.

Details

Parameter usage by kernel type:

  • regularised_laplacian: sigma2, add_diag

  • commute_time: none

  • diffusion: sigma2

  • inverse_cosine: none

  • pstep: a, p