Spectral clustering specification based on manydist dissimilarities

Usage

spectral_dist(num_clusters = NULL, sigma = NULL, nstart = 50)

Arguments

num_clusters: Number of clusters.
sigma: Optional bandwidth for the Gaussian affinity. If `NULL`, the median pairwise distance is used.
nstart: Number of random starts for k-means.

Value

A `spectral_dist_spec` object.

Examples



if (FALSE) { # \dontrun{
library(manydist)
library(palmerpenguins)
library(recipes)
library(generics)

data <- penguins |>
  dplyr::select(-species) |>
  tidyr::drop_na()

rec <- recipes::recipe(~ ., data = data) |>
  step_mdist(all_predictors(), preset = "gower", output = "pairwise")

spec <- spectral_dist(num_clusters = 3)

fit_obj <- generics::fit(spec, recipe = rec, data = data)

print(fit_obj)
predict(fit_obj)
predict(fit_obj, type = "embed")
} # }