Hi Don,

Thanks for the advise.

I followed this video: http://www.youtube.com/watch?v=uw4NtcTD4iM

and achieved my goal: i.e. by using 'matrix' function and 'c' function as
shown below:

> tail_clusters <-
matrix(c(input_tail[,1],input_tail[,2],clustering_tail$cluster),ncol=3)

and separating them:

> tail_cluster1 <- tail_clusters[tail_clusters[,3] == 1,]
> tail_cluster1 <- tail_clusters[tail_clusters[,3] == 2,]
    ...

and saving to file...

Thanks for your advise though, which is almost same :)

On Thu, Jan 24, 2013 at 2:14 PM, MacQueen, Don <macqueen1@llnl.gov> wrote:

> You find the element of clustering_tail that indicates which which point
> is in which cluster (the help page for kmeans tells you). Then you use
> that element to subset your input data (1.tsv). Then you save each subset
> to a separate folder.
>
> By "save to a folder" I would assume you mean write a tsv file, in which
> case you use write.table().
>
> -Don
>
> --
> Don MacQueen
>
> Lawrence Livermore National Laboratory
> 7000 East Ave., L-627
> Livermore, CA 94550
> 925-423-1062
>
>
>
>
>
> On 1/23/13 4:41 PM, "Lakshminarayana Motamarri"
> <narayana.gupta123@gmail.com> wrote:
>
> >Hi Team,
> >
> >I am trying to run kmeans in R, and I need to save the different clusters
> >into different folders. How can I achieve this?
> >
> ># this is how my data looks.
> >$ *cat 1.tsv | head*
> >userid   bookid   rating   bookTotalRatings   bookAvgRating
> >userTotalRatings   userAvgRating
> >1    100    0    24    2.7916666666666665    291    2.6735395189003435
> >2    200    7    24    2.9583333333333335    6    7.0
> >3    300    0    24    1.7916666666666667    874    0.7963386727688787
> >4    400    8    24    4.291666666666667    1    8.0
> >5    500    5    24    2.4166666666666665    291    2.6735395189003435
> >
> >$R
> >> *input_tail <- read.table("1.tsv", header=FALSE, sep="\t")
> >*
> >> *clustering_tail <- kmeans(input_tail, 5) *
> >
> >> *print(clustering_tail)*
> >...
> >[99973] 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
> >
> >Within cluster sum of squares by cluster:
> >[1] 2.731015e+26 8.785281e+22 4.726557e+26 3.513411e+22 5.092071e+25
> > (between_SS / total_SS =  98.9 %)
> >
> >Available components:
> >[1] "cluster"      "centers"      "totss"        "withinss"
> >"tot.withinss"
> >[6] "betweenss"    "size"
> >
> >
> >*Now how to I save these 5 clusters into 5 separate folders? *
> >
> >Please advise,
> >Thanks.
> >
> >       [[alternative HTML version deleted]]
> >
> >______________________________________________
> >R-help@r-project.org mailing list
> >https://stat.ethz.ch/mailman/listinfo/r-help
> >PLEASE do read the posting guide
> >http://www.R-project.org/posting-guide.html
> >and provide commented, minimal, self-contained, reproducible code.
>
>

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