kmeans2.plot: Plotting results for k-means clustering

In Mfuzz: Soft clustering of time series gene expression data

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)

Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)

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 documentation built on May 31, 2017, 10:59 a.m.

K-means clustering for gene expression data

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