Hello,

I have used the functions agnes and cutree to cluster my data (4977
objects x 22 variables) into 8 clusters. I would like to refine the
solution using a k-means or similar algorithm, setting the initial
cluster centres as the group means from agnes. However my data matrix
has NA's in it and the function kmeans does not appear to accept this?

> dim(centres)
[1]  8 22

> dim(data)
[1] 4977   22

> x <- kmeans(data,centres)
Error in kmeans(data, centres) : NA/NaN/Inf in foreign function call
(arg 1)

I have looked extensively through the mail archives but cannot find
if/where someone has provided the answer.

Thanks in advance,
SB

Sophie Bestley
Pelagic Fisheries and Ecosystems
CSIRO Marine Research
GPO Box 1538 
Hobart, Tasmania 7001
AUSTRALIA 

Phone: +61 3 6232 5048	
Fax: +61 3 6232 5053	
Email: sophie.bestley@csiro.au
Website: http://www.marine.csiro.au





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