Thanks.
That makes sense. Actually, I am trying as well to make the threshold
dynamic. Still have to test my approach.
Best,
On Mon, Nov 30, 2015 at 9:15 PM, Manoj Kumar wrote:
> Ah well, the value of the threshold set depends on your data.
>
> If your data is on the scale of 1e4 - 1e5, it is
Ah well, the value of the threshold set depends on your data.
If your data is on the scale of 1e4 - 1e5, it is expected to provide a
really high threshold, because the sample distances are on the same scale.
We are trying to produce heuristics for an optimal "auto" threshold
parameter here, (http
Hi,
Can you provide your script for testing?
Thanks !
On Mon, Nov 30, 2015 at 3:06 PM, Dženan Softić wrote:
> Hi,
>
> I am trying to test BIRCH with the original datasets found here:
> https://cs.joensuu.fi/sipu/datasets/
> (100K points, 100 clusters)
>
> The problem is setting the threshold
Hi,
I am trying to test BIRCH with the original datasets found here:
https://cs.joensuu.fi/sipu/datasets/
(100K points, 100 clusters)
The problem is setting the threshold. I need to set it above 10 000 to get
decent results. That is very weird because on BIRCH example (
http://scikit-learn.org/st
