>>>>> Gabor Grothendieck <ggrothendi...@gmail.com>
>>>>> on Fri, 2 Jul 2010 18:50:28 -0400 writes:
> In kmeans() in stats one gets an error message with the default
> clustering algorithm if centers = 1. Its often useful to calculate
> the sum of squares for 1 cluster, 2 clusters, etc. and this error
> complicates things since one has to treat 1 cluster as a special case.
> A second reason is that easily getting the 1 cluster sum of squares
> makes it easy to calculate the between cluster sum of squares when
> there is more than 1 cluster.
> I suggest adding the line marked ### to the source code of kmeans (the
> other lines shown are just ther to illustrate context). Adding this
> line forces kmeans to use the code for algorithm 3 if centers is 1.
> This is useful since unlike the code for the default algorithm, the
> code for algorithm 3 succeeds for centers = 1.
> if(length(centers) == 1) {
> if (centers == 1) nmeth <- 3 ###
> k <- centers
I agree that this is a reasonable improvement,
and have applied this (+ docu + example) to the R-devel sources.
Thank you, Gabor.
> Also note that KMeans in Rcmdr produces a betweenss and a tot.withinss
> and it would be nice if kmeans in stats did that too:
Well, patches (to the R-devel *sources*) are happily accepted
Martin
>> library(Rcmdr)
>> str(KMeans(USArrests, 3))
> List of 6
> $ cluster : Named int [1:50] 1 1 1 2 1 2 3 1 1 2 ...
> ..- attr(*, "names")= chr [1:50] "Alabama" "Alaska" "Arizona" "Arkansas"
...
> $ centers : num [1:3, 1:4] 11.81 8.21 4.27 272.56 173.29 ...
> ..- attr(*, "dimnames")=List of 2
> .. ..$ : chr [1:3] "1" "2" "3"
> .. ..$ : chr [1:4] "Murder" "Assault" "UrbanPop" "Rape"
> $ withinss : num [1:3] 19564 9137 19264
> $ size : int [1:3] 16 14 20
> $ tot.withinss: num 47964 <=================
> $ betweenss : num 307844 <=================
> - attr(*, "class")= chr "kmeans"
> ______________________________________________
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
______________________________________________
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
