wkm function

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",
  ...
)

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