okay,
when you cluster information, you can have two inputs
raw data information which the algorithms converts have into a matrix and
then processes
a pre-processed matrix which you create yourself to input into a package
essentially, packages will have a default assumption about the data yo
On Wed, 2008-06-18 at 12:43 +0100, Gavin Simpson wrote:
> On Wed, 2008-06-18 at 03:45 -0700, Birgitle wrote:
> > You could have a look at library(analogue) , function ?distance
>
> Thanks for the plug Birgit, but (and I say this as the author of
> distance), if you just want to compute a dissimila
On Wed, 2008-06-18 at 03:45 -0700, Birgitle wrote:
> You could have a look at library(analogue) , function ?distance
Thanks for the plug Birgit, but (and I say this as the author of
distance), if you just want to compute a dissimilarity matrix using
Gower's coefficient for mixed data, use daisy()
hi, Chua Siang
I think the mclust package is what you need.
regards.
On 2008-6-18, at 下午5:46, Chua Siang Li wrote:
Hello there. Is there any function in R that can do cluster on a
set of
data that has both categorical and numerical variables? thanks.
siangli
You could have a look at library(analogue) , function ?distance
and library (cluster), function ?agnes
B.
Chua Siang Li wrote:
>
>
>Hello there. Is there any function in R that can do cluster on a set
> of
>data that has both categorical and numerical variables? thanks.
>siangl
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