Hi, all,
I have a really big matrix that I want to run k-means on.
I tried:
>data <-
read.big.memory('mydata.csv',type='double',backingfile='mydata.bin',descriptorfile='mydata.desc')
I'm using doMC to register multicore.
>library(doMC)
>registerDoMC(cores=8)
>ans<-bigkmeans(data,k)
In system moni
Hi,
I have a 60k*600k matrix, which exceed the vector length limit of 2^32-1.
But it's rather sparse, only 0.02% has value. So I save is as MarketMatrix
(mm) file, it's about 300M in size. I use readMM in Matrix package to read
it in. If do so, the data type becomes dgTMatrix in 'Matrix' package
i
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