K-means clustering for gene expression data
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.
kmeans2(eset,k,iter.max=100)
eset |
object of the class ExpressionSet. |
k |
number of clusters. |
iter.max |
maximal number of iterations. |
An list of clustering components (see
kmeans).
Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)
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))
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