Hi Nick, If you're asking about the coordinates used in the plot produced by fviz_cluster(), you're looking in the wrong place.
The 2D plot isn't anything intrinsic to the clustering. Instead, that plot is of the first two principal components. From the help: "Observations are represented by points in the plot, using principal components if ncol(data) > 2." The easiest way to get the coordinates is probably to use prcomp yourself, as fviz_cluster does. Specifically, it does: pca <- stats::prcomp(data, scale = FALSE, center = FALSE) That's also where the percentage values in the axis labels come from: those are the variance explained by each of the first two PCA axes. Sarah On Tue, Sep 17, 2024 at 8:01 AM Nick Wray <nickmw...@gmail.com> wrote: > > Hello I am using k medoids in R to generate sets of clusters for datasets > through time. I can plot the individual clusters OK but what I cannot find > is a way of pulling out the co-ordinates of the individual points in the > cluster diagrams - none of the kmed$... info sets seems to be this. > > Beneath is an example of a k medoid prog using the built in US arrests > dataset - this is not the data I am working with but it illustrates the > issue easily > > library(factoextra) > library(cluster) > set.seed(170924) > df <- USArrests > df <- na.omit(df) > df <- scale(df) > kmed <- pam(df, k = 4) > fviz_cluster(kmed, data = df) > > Thanks for any help or pointers > Nick Wray > > [[alternative HTML version deleted]] > -- Sarah Goslee (she/her) http://www.numberwright.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
