Momocs (version 1.4.1)

KMEANS: KMEANS on PCA objects

Description

A very basic implementation of k-means. Beware that morphospaces are calculated so far for the 1st and 2nd component.

Usage

KMEANS(x, ...)
# S3 method for PCA
KMEANS(x, centers, nax = 1:2, pch = 20, cex = 0.5, ...)

Value

the same thing as kmeans

Arguments

x

PCA object

...

additional arguments to be passed to kmeans

centers

numeric number of centers

nax

numeric the range of PC components to use (1:2 by default)

pch

to draw the points

cex

to draw the points

See Also

Other multivariate: CLUST(), KMEDOIDS(), LDA(), MANOVA_PW(), MANOVA(), MDS(), MSHAPES(), NMDS(), PCA(), classification_metrics()

Examples

data(bot)
bp <- PCA(efourier(bot, 10))
KMEANS(bp, 2)