Wrapper function to generate SNF parameters

Usage

params_snf(
  k = 20L,
  t = 20L,
  mu = 0.5,
  alpha = 1,
  normalise = TRUE,
  distance_metric = c("euclidean", "manhattan", "canberra", "cosine")
)

Arguments

k: Integer. Number of neighbours to consider.
t: Integer. Number of iterations for the SNF algorithm.
mu: Float. Normalisation factor for the Gaussian kernel width.
alpha: Float. Normalisation parameter controlling the fusion strength.
normalise: Boolean. Shall continuous values be Z-scored.
distance_metric: String. One of c("euclidean", "manhattan", "canberra", "cosine"). Which distance metric to use for the continuous calculations. In case of pure categorical, Hamming will be used, for mixed data types Gower distance is used.

Value

List with parameters for usage in subsequent function.