fdm2id (version 0.9.9)

KMEANS: K-means method

Description

Run K-means for clustering.

Usage

KMEANS(
  d,
  k = 9,
  criterion = c("none", "pseudo-F"),
  graph = FALSE,
  nstart = 10,
  ...
)

Value

The clustering (kmeans object).

Arguments

d

The dataset (matrix or data.frame).

k

The number of cluster.

criterion

The criterion for cluster number selection. If none, k is used, if not the number of cluster is selected between 2 and k.

graph

A logical indicating whether or not a graphic should be plotted (cluster number selection).

nstart

Define how many random sets should be chosen.

...

Other parameters.

See Also

kmeans, predict.kmeans

Examples

require (datasets)
data (iris)
KMEANS (iris [, -5], k = 3)
KMEANS (iris [, -5], criterion = "pseudo-F") # With automatic detection of the nmber of clusters