[scikit-learn] Spherical Kmeans #OT

[Fred Mailhot]

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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