[R] Using kmeans given cluster centroids and data with NAs

[Mulholland, Tom]

Does ?na.omit help

x <- kmeans(na.omit(data),centres)

of course if you have too many NAs you need to be sure that their removal does not unduly influence the results.

Although I am a bit confused as I thought that agnes did not allow NAs. I assume that you are running an alternative clustering method using the results of the first process as the starting point for the partitioning process and are thus using the same initial data.

Tom

> -----Original Message-----
> From: Sophie.Bestley at csiro.au [mailto:Sophie.Bestley at csiro.au]
> Sent: Thursday, 31 March 2005 11:33 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Using kmeans given cluster centroids and data with NAs
> 
> 
> 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 at csiro.au
> Website: http://www.marine.csiro.au
> 
> 
> 
> 
> 
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