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 <manojkumarsivaraj...@gmail.com
> 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 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, (https://github.com/scikit-learn/scikit-learn/pull/5593)
> but it is under progress.
>
> On Mon, Nov 30, 2015 at 3:10 PM, Manoj Kumar <
> manojkumarsivaraj...@gmail.com> wrote:
>
>> Hi,
>>
>> Can you provide your script for testing?
>>
>> Thanks !
>>
>>
>>
>> On Mon, Nov 30, 2015 at 3:06 PM, Dženan Softić <dzen...@gmail.com> 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. I need to set it above 10 000 to
>>> get decent results. That is very weird because on BIRCH example (
>>> http://scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html),
>>> similar dataset has been produced, and with threshold set to 0.0 - 2.0
>>> normal results could be obtained.
>>>
>>> I thought there was something wrong with the dataset itself, but then I
>>> found on BIRCH issues that it was actually used for testing during the
>>> development:(https://gist.github.com/MechCoder/16f121698ccd50568c2a)
>>>
>>> Am I doing something wrong here?
>>>
>>> Thanks,
>>> Dzeno
>>>
>>>
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>>
>>
>> --
>> Manoj Kumar,
>> http://manojbits.wordpress.com
>> <http://goog_1017110195>
>> http://github.com/MechCoder
>>
>
>
>
> --
> Godspeed,
> Manoj Kumar,
> http://manojbits.wordpress.com
> <http://goog_1017110195>
> http://github.com/MechCoder
>
>
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> Design, debug & build mobile apps & 2D/3D high-impact games for multiple
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