[scikit-learn] Spherical Kmeans #OT

[JAGANADH G]

Hi Fred and Michel,

Thanks for the reply . I think I git this and am able to run it.


Best
Jagan


On Mon, Jun 27, 2016 at 1:03 PM, Fred Mailhot <fred.mailhot at gmail.com>
wrote:

> Per the example here:
>
> http://scikit-learn.org/stable/auto_examples/text/document_clustering.html
>
> if your inputs are normalized, sklearn's kmeans behaves like sperical
> kmeans (unless I'm misunderstanding something, which is certainly possible,
> caveat lector, &c )...
> On Jun 27, 2016 12:13 PM, "Michael Eickenberg" <
> michael.eickenberg at gmail.com> wrote:
>
>> hmm, not an answer, and off the top of my head:
>> if you normalize your data points to l2 norm equal 1, and then use
>> standard kmeans with euclidean distance (which then amounts to 2 - 2
>> cos(angle between points)) would this be enough for your purposes? (with a
>> bit of luck there may even be some sort of correspondence)
>>
>> Michael
>>
>> On Monday, June 27, 2016, JAGANADH G <jaganadhg at gmail.com> wrote:
>>
>>> Hi ,
>>> is there any Python package available for experiment with Sperical
>>> Kmeans ?
>>>
>>>
>>> --
>>> **********************************
>>> JAGANADH G
>>> http://jaganadhg.in
>>> *ILUGCBE*
>>> http://ilugcbe.org.in
>>>
>>
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-- 
**********************************
JAGANADH G
http://jaganadhg.in
*ILUGCBE*
http://ilugcbe.org.in
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