On 26.09.2007, at 09:54, Prof Brian Ripley wrote:
> On Wed, 26 Sep 2007, Friedrich Leisch wrote:
>
>>> On Tue, 25 Sep 2007 20:16:05 -0400,
>>> Wiebke Timm (WT) wrote:
>>
>> > You might want to check if there is a neural gas algorithm in R.
>> > kmeans generally has a high variance since
On Wed, 26 Sep 2007, Friedrich Leisch wrote:
>> On Tue, 25 Sep 2007 20:16:05 -0400,
>> Wiebke Timm (WT) wrote:
>
> > You might want to check if there is a neural gas algorithm in R.
> > kmeans generally has a high variance since it is very dependent on
> > the initialization. Neural gas
> On Tue, 25 Sep 2007 20:16:05 -0400,
> Wiebke Timm (WT) wrote:
> You might want to check if there is a neural gas algorithm in R.
> kmeans generally has a high variance since it is very dependent on
> the initialization. Neural gas overcomes this problem by using a
> ranked li
You might want to check if there is a neural gas algorithm in R.
kmeans generally has a high variance since it is very dependent on
the initialization. Neural gas overcomes this problem by using a
ranked list of neighbouring data points instead using data points
directly. It is more stable (
Hi there,
If the final predicted clusters vary according to a random starting cluster
then I suspect that your data is not clustering very well!!
A few reasons for this may be:
1) There are genuinely no clusters in the data!
2) You have chosen a poor distance measure.
3) You have picked an i
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