wkm: Weighted K-means

In kkholst/lava: Latent Variable Models

Weighted K-means

Description

Weighted K-means via Lloyd's algorithm

Usage

wkm(
  x,
  mu,
  data,
  weights = rep(1, NROW(x)),
  iter.max = 20,
  n.start = 5,
  init = "kmpp",
  ...
)

Arguments

x	Data (or formula)
mu	Initial centers (or number centers chosen randomly among x)
data	optional data frmae
weights	Optional weights
iter.max	Max number of iterations
n.start	Number of restarts
init	method to create initial centres (default kmeans++)
...	Additional arguments to lower level functions

Author(s)

Klaus K. Holst

kkholst/lava documentation built on March 4, 2023, 10:35 p.m.