KMEANS: KMEANS on PCA objects

In Momocs: Morphometrics using R

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 class 'PCA'
KMEANS(x, centers, nax = 1:2, pch = 20, cex = 0.5, ...)

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

Value

the same thing as kmeans

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)

Momocs documentation built on Nov. 13, 2023, 5:07 p.m.