Re: [R] kmeans function

2014-03-27 Thread Tomassini, Letizia
...@stat.math.ethz.ch Oggetto: Re: [R] kmeans function On 26/03/2014 20:01, Tomassini, Letizia wrote: > I would like to understand why the fastclus procedure in SAS is affected by > the initial order of the data. So, with the same dataset, but sorted in a > different way, I get different clusters rearrang

Re: [R] kmeans function

2014-03-26 Thread Prof Brian Ripley
explain. Letizia Da: r-help-boun...@r-project.org [r-help-boun...@r-project.org] per conto di Ranjan Maitra [maitra.mbox.igno...@inbox.com] Inviato: mercoledì 26 marzo 2014 12.48 A: r-h...@stat.math.ethz.ch Oggetto: Re: [R] kmeans function On Wed, 26 Mar

Re: [R] kmeans function

2014-03-26 Thread Tomassini, Letizia
Ranjan Maitra [maitra.mbox.igno...@inbox.com] Inviato: mercoledì 26 marzo 2014 12.48 A: r-h...@stat.math.ethz.ch Oggetto: Re: [R] kmeans function On Wed, 26 Mar 2014 18:35:34 + "Tomassini, Letizia" wrote: > > Hello > I need to ask questions about the k-means clustering

Re: [R] kmeans function

2014-03-26 Thread David Carlson
t.org] On Behalf Of Ranjan Maitra Sent: Wednesday, March 26, 2014 2:48 PM To: r-h...@stat.math.ethz.ch Subject: Re: [R] kmeans function On Wed, 26 Mar 2014 18:35:34 + "Tomassini, Letizia" wrote: > > Hello > I need to ask questions about the k-means clustering function. Mai

Re: [R] kmeans function

2014-03-26 Thread Ranjan Maitra
On Wed, 26 Mar 2014 18:35:34 + "Tomassini, Letizia" wrote: > > Hello > I need to ask questions about the k-means clustering function. Mainly I would > like to know why, with the use of nstart=enough number of times, kmeans > always finds the same clustering arrangements; and this happens e

[R] kmeans function

2014-03-26 Thread Tomassini, Letizia
Hello I need to ask questions about the k-means clustering function. Mainly I would like to know why, with the use of nstart=enough number of times, kmeans always finds the same clustering arrangements; and this happens even when the input dataset is sorted in different ways or I take out few o