Mfuzz (version 2.32.0)

kmeans2: K-means clustering for gene expression data

Description

This function is a wrapper function for kmeans of the e1071 package. It performs hard clustering of genes based on their expression values using the k-means algorithm.

Usage

kmeans2(eset,k,iter.max=100)

Arguments

eset

object of the class ExpressionSet.

k

number of clusters.

iter.max

maximal number of iterations.

Value

kmeans).

See Also

kmeans

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))
}