interesting posts :).
so
1) do we want a natural breaks method?
https://en.wikipedia.org/wiki/Jenks_natural_breaks_optimization
2) have you considered looking at the distribution of the variable as they
suggest? any small-d tends to allow this rather than the usual giant-d
space.
Do you have any general data set you could release w.r.t. this variable
nipun? the first question has very clear breaks if you use a histogram alone
On Tue, Mar 5, 2013 at 9:59 AM, nipun batra <nipunredde...@gmail.com> wrote:
> It should. I would have straight away tried it, but read the following 2
> posts:
>
> 1.
> http://stackoverflow.com/questions/11513484/1d-number-array-clustering
> 2. http://stats.stackexchange.com/questions/13781/clustering-1d-data
>
> Any thoughts?
>
> On Tue, Mar 5, 2013 at 8:24 PM, Ronnie Ghose <ronnie.gh...@gmail.com>wrote:
>
>> ..........does kmeans not work?
>>
>>
>> On Tue, Mar 5, 2013 at 9:51 AM, nipun batra <nipunredde...@gmail.com>wrote:
>>
>>> Hi,
>>> What clustering technique (with implementation in sklearn) is
>>> recommended for 1d data?
>>>
>>>
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