Setup CMeansParameters

Usage

setup_CMeans(
  k = 2L,
  max_iter = 100L,
  dist = c("euclidean", "manhattan"),
  method = c("cmeans", "ufcl"),
  m = 2,
  rate_par = NULL,
  weights = 1,
  control = list()
)

Arguments

k: Integer: Number of clusters.
max_iter: Integer: Maximum number of iterations.
dist: Character: Distance measure to use: 'euclidean' or 'manhattan'.
method: Character: "cmeans" - fuzzy c-means clustering; "ufcl": on-line update.
m: Float (>1): Degree of fuzzification.
rate_par: Float (0, 1): Learning rate for the online variant.
weights: Float (>0): Case weights.
control: List: Control parameters for clustering algorithm.

Value

CMeansParameters object.

Author

EDG