setup_CMeans: Setup CMeansParameters

In egenn/rtemis: Machine Learning and Visualization

Setup CMeansParameters

Description

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(s)

EDG

egenn/rtemis documentation built on June 14, 2025, 11:54 p.m.