[R] kmeans and incom,plete distance matrix concern
ggrothendieck at gmail.com
Mon Aug 7 17:58:50 CEST 2006
?kmeans says the following. Note that x is a matrix of ***data***.
Also look at the examples at the end of the help page if its still
kmeans(x, centers, iter.max = 10, nstart = 1,
algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"))
x: A numeric matrix of data, or an object that can be coerced to
such a matrix (such as a numeric vector or a data frame with
all numeric columns).
On 8/7/06, Ffenics <ffenics2002 at yahoo.co.uk> wrote:
> Thanks. I had a look at that and it says:
> Partitioning Clustering:
> Function kmeans() from package stats provides several algorithms for computing partitions with respect to Euclidean distance.
> Hence why I am using a euclidean distance matrix. Why is this incorrect?
> Gabor Grothendieck <ggrothendieck at gmail.com> wrote:
> There are many clustering functions in R and R packages and some
> take distance objects whereas others do not. You likely read about
> hclust or some different clustering function. See ?kmeans for the
> kmeans function and also look at the CRAN Task View on clustering for
> other clustering functions:
> [[alternative HTML version deleted]]
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
More information about the R-help