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kmeans2.plot

Plotting results for k-means clustering


Description

This function visualises the clusters produced by kmeans2.

Usage

kmeans2.plot(eset,kl,mfrow=c(1,1))

Arguments

eset

object of the class“ExpressionSet”.

kl

list produced by kmeans2.

mfrow

determines splitting of graphic window.

Value

The function displays the temporal profiles of clusters detected by k-means.

Author(s)

Examples

if (interactive()){
data(yeast)
# Data pre-processing
yeastF <- filter.NA(yeast)
yeastF <- fill.NA(yeastF)
yeastF <- standardise(yeastF)

# K-means clustering and visualisation
kl <- kmeans2(yeastF,k=20)
kmeans2.plot(yeastF,kl=kl,mfrow=c(2,2))
}

Mfuzz

Soft clustering of time series gene expression data

v2.50.0
GPL-2
Authors
Matthias Futschik <matthias.futschik@sysbiolab.eu>
Initial release
2016-10-18

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