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$cluster),ncol=3) and separating them: > tail_cluster1 <- tail_clusters[tail_clusters[,3] == 1,] > tail_cluster1 <- tail_clusters[tail_clusters[,3] == 2,] ... and saving to file... Thanks for your advise though, which is almost same :) On Thu, Jan 24, 2013 at 2:14 PM, MacQueen, Don <macque...@llnl.gov> wrote: > You find the element of clustering_tail that indicates which which point > is in which cluster (the help page for kmeans tells you). Then you use > that element to subset your input data (1.tsv). Then you save each subset > to a separate folder. > > By "save to a folder" I would assume you mean write a tsv file, in which > case you use write.table(). > > -Don > > -- > Don MacQueen > > Lawrence Livermore National Laboratory > 7000 East Ave., L-627 > Livermore, CA 94550 > 925-423-1062 > > > > > > On 1/23/13 4:41 PM, "Lakshminarayana Motamarri" > <narayana.gupta...@gmail.com> wrote: > > >Hi Team, > > > >I am trying to run kmeans in R, and I need to save the different clusters > >into different folders. How can I achieve this? > > > ># this is how my data looks. > >$ *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. > > [[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.
