The kmeans.big.matrix function seems to have disappeared between the 2.3 
and the 3.5 release of the library. (?)  I am not sure why.  You can 
download old versions from CRAN.  The default package on Fedora 
(R-bigmemory-2.3-4.fc11.x86_64 or similar for your platform) also has 
the function (from the 2.3 library) and this may also work for other 
distributions.

In general, most R functions somehow and somewhere relies on being able 
to convert your matrix to a vector which is unfortunately going to fail 
for matrices with more than 2^31-1 elements (on any platform) and is 
therefore not supported by many of the big data packages.

Allan

On 20/07/09 20:46, Michael Knudsen wrote:
> Hi,
>
> I'm playing around with the 'bigmemory' package, and I have finally
> managed to create some really big matrices. However, only now I
> realize that there may not be functions made for what I want to do
> with the matrices...
>
> I would like to perform a cluster analysis based on a big.matrix.
> Googling around I have found indications that a certain
> kmeans.big.matrix() function should exist. It is mentioned, among
> other places, in this document:
>
> http://www.stat.yale.edu/~jay/662/bm-nojss.pdf
>
> Unfortunately, on my computer the following happens:
>
>    
>> require(bigmemory)
>>      
> Loading required package: bigmemory
>    
>> kmeans.big.matrix
>>      
> Error: object 'kmeans.big.matrix' not found
>
> Does anybody know how to get the kmeans.big.matrix() function? Are
> there other cluster algorithms out there ready to accept a big.matrix
> as input?
>
> Thanks!
>
>    

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