Partition data into clusters

Greetings R-users,

I have been using the fpc package in R to cluster my
data. Speficically I am
using kmeansruns clustering.
I would like to know how I use R to partition data
into clusters. What I am
doing is as follows.

# Use csv file as input
#####################
wholeset = read.csv("Spellman800genesImputed.csv")

# exclude first col (gene names)
##########################
wholeset2 = wholeset[,-1]

#Use fpc
###########################
library(fpc)

cl.kmr10 <- kmeansruns(wholeset2,k=10,runs=10)


#append cluster label to original dataset
###################
cl2 <- data.frame(wholeset, cl.kmr10$cluster)

After this step, I write cl2 into a csv file and
manually partition data
into its respective clusters using Excel.
Then I read the data from each clusters back into R
for further analysis.

Can I do the data partitioning directly in R?

TQ


-- 
Suhaila Zainudin
PhD Candidate
Universiti Teknologi Malaysia

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