km: Weighted K-means

In kkholst/lava.mixture: Mixtures of Linear Latent Variable Models

Description

Weighted K-means via Lloyd's algorithm

Usage

km(x, mu, data, weights = rep(1, NROW(x)), iter.max = 20, n.start = 5,
  ...)

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
...	Additional arguments to lower level functions

Author(s)

Klaus K. Holst

kkholst/lava.mixture documentation built on May 20, 2019, 10:46 a.m.