In applied statistics, k-means++ is an algorithm for choosing the
initial values (or "seeds") for the k-means clustering algorithm. It
was proposed in 2007 by David Arthur and Sergei Vassilvitskii, as an
approximation algorithm for the NP-hard k-means problem?a way of
avoiding the sometimes poor clusterings found by the standard k-means
algorithm.
On Wed, Feb 29, 2012 at 11:33 AM, Pascal Oettli
<oettli at eps.s.u-tokyo.ac.jp> wrote:
Dear Rui,
What "++" means? There is kmeans in "stats" package.
Best Regards,
Pascal
Le 29/02/2012 19:20, Rui Esteves a ?crit :
Dear all.
I am searching for KMeans ++ for R. I cannot find it.
Do you know any package with it?
Best regards,
Rui