Clustering with bigkmeans from bigmemory package in R?

I recently started experimenting with the bigan开发者_高级运维alytics package for R. I ran into a problem however...

I am trying to run bigkmeans with a cluster number of about 2000 e.g clust <- bigkmeans(mymatrix, centers=2000)

However, I get the following error:

Error in 1:(10 + 2^k) : result would be too long a vector

Can someone maybe give me a hint what I am doing wrong here?

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Vectors are limited by the type used for the index -- there is/was some talk about replacing this index type by a double but it hasn't happen yet and is unlikely as it may break so much existing code.

If your k is really large, you may not be able to do this the way you had planned.