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wkm

Weighted K-means

Weighted K-means via Lloyd's algorithm

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

`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

Klaus K. Holst

Latent Variable Models

v1.6.10

GPL-3

Authors

Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]

Initial release

2021-09-01