> On Sat, 17 May 2008 00:54:55 +0200,
> cgenolin (c) wrote:
> Hi the list
> I try the flexclust, but I do not manage to see what is wrong in my
> (very simple) code...
> Will you have few minutes to check it?
> Thanks for your help.
> Christophe
> --- 8< --
Hi the list
I try the flexclust, but I do not manage to see what is wrong in my
(very simple) code...
Will you have few minutes to check it?
Thanks for your help.
Christophe
--- 8<
data <- rbind(c(1,2 ,NA,4 ),
c(1,1 ,NA,1 ),
c(2,3
> On Mon, 12 May 2008 19:24:55 +0200,
> cgenolin (c) wrote:
> Hi the devel list,
> I am using K means with a non standard distance. As far as I see, the
> function kmeans is able to deal with 4 differents algorithm, but not
> with a user define distance.
> In addition, kmeans
ables/
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED]
Sent: Tuesday, 13 May 2008 3:25 AM
To: r-devel@r-project.org
Subject: [Rd] k means
Hi the devel list,
I am using K means with a non standard distance. As far as I see, the
function kmeans is
Hi the devel list,
I am using K means with a non standard distance. As far as I see, the
function kmeans is able to deal with 4 differents algorithm, but not
with a user define distance.
In addition, kmeans is not able to deal with missing value whereas
there is several solution that k-means
