Thank you !
On Sun, Dec 4, 2011 at 2:30 PM, Robert Layton <[email protected]>wrote:
>
> On 3 December 2011 23:47, Olivier Grisel <[email protected]> wrote:
>
>> 2011/12/2 María Helena Mejía Salazar <[email protected]>:
>> > Hi,
>> >
>> > I modified a little bit the program of demo dbscan (plot_dbscan.py). I
>> am
>> > using just distance (no similarities) and I am having bad results.
>> There are
>> > just 5 points, I changed the eps as the minimum distance between the
>> > points and the number of minimun points are 2 since this is what I
>> requiered
>> > for doing the cluster. I am getting that all the points are noise.
>> > I used WEKA (java) too and it produced the desired results.
>>
>> I have little understanding of the DBSCAN algorithm itself but
>> clustering 5 datapoints sounds like an hill-defined task to me. Are
>> you sure this is what you are looking for? Maybe a full hierarchical
>> clustering tree (the dendrogram) would be more interesting in this
>> case.
>>
>> --
>> Olivier
>> http://twitter.com/ogrisel - http://github.com/ogrisel
>>
>>
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>
>
> It is an ill-defined problem for DBSCAN in general, but the example needs
> to be adjusted:
>
> Change this line:
> db = DBSCAN().fit(S,eps=mineps, min_samples=2)
> To this:
> db = DBSCAN(metric='precomputed').fit(S,eps=mineps, min_samples=2)
>
>
> To fit in with the API for scikits.learn in general, it was deemed that,
> but default, the euclidean distance is calculated from the given matrix.
> This is in the docs, should it be made clearer?
> Perhaps we should give a warning if a square matrix with a zero diagonal
> is given?
>
> - Robert
>
>
> --
>
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>
>
> ------------------------------------------------------------------------------
> All the data continuously generated in your IT infrastructure
> contains a definitive record of customers, application performance,
> security threats, fraudulent activity, and more. Splunk takes this
> data and makes sense of it. IT sense. And common sense.
> http://p.sf.net/sfu/splunk-novd2d
> _______________________________________________
> Scikit-learn-general mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
All the data continuously generated in your IT infrastructure
contains a definitive record of customers, application performance,
security threats, fraudulent activity, and more. Splunk takes this
data and makes sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-novd2d
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