In the current implementation of dbscan, algorithms in
`neighbors.NearestNeighbors` are used to train a model. That model will be
used to compute pointwise distances and find nearest neighbors later in the
code. LSH-based ANN module can be used for the same scenario in order to
achieve improved speeds. Then a choice between these two approaches can
given using parameters.
On Fri, Apr 11, 2014 at 12:09 PM, Maheshakya Wijewardena <
[email protected]> wrote:
> Is that so? I'm sorry. I haven't checked the implementation of
> hierarchical clustering yet.
> What do you think about the approach I suggested for k-means clustering?
>
>
> On Fri, Apr 11, 2014 at 12:02 PM, Gael Varoquaux <
> [email protected]> wrote:
>
>> > I think we can improve hierarchical clustering and dbscan as well with
>> > approximate neighbor search.
>>
>> Hierarchical clustering, I don't think so, because we don't have (yet)
>> single linkage, which is what would benefit from it.
>>
>>
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>
>
>
> --
> Undergraduate,
> Department of Computer Science and Engineering,
> Faculty of Engineering.
> University of Moratuwa,
> Sri Lanka
>
--
Undergraduate,
Department of Computer Science and Engineering,
Faculty of Engineering.
University of Moratuwa,
Sri Lanka
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