KMEANS: K-means method
In fdm2id: Data Mining and R Programming for Beginners

KMEANS

R Documentation

K-means method

Description

Run K-means for clustering.

Usage

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

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.

Value

The clustering (kmeans object).

Examples

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

fdm2id documentation built on July 9, 2023, 6:05 p.m.