Subject: Re: [boost] Interest in a tiny kmeans library
From: Mateusz Loskot (mateusz_at_[hidden])
Date: 2018-05-22 13:40:27
On 22 May 2018 at 15:02, Paul A. Bristow via Boost
>> -----Original Message-----
>> From: Boost [mailto:boost-bounces_at_[hidden]] On Behalf Of Raffi Enficiaud via Boost
>> Sent: 11 May 2018 20:24
>> To: boost_at_[hidden]
>> Cc: Raffi Enficiaud
>> Subject: [boost] Interest in a tiny kmeans library
>> Dear all,
>> We are finishing the cleanup of a tiny kmeans library. For those who do
>> not know, kmeans is a widely used data clustering algorithm.
>> This special implementation has a lower runtime complexity by taking
>> advantages of the triangle inequalities between clusters and data points
>> at each iteration.
>> This implementation is based on the paper of Charles Elkan
>> We have also python and matlab bindings, fully generic on the data type,
>> and with additional initialization heuristics.
>> I would be happy if we can release this library into Boost.
>> Do you think there is any interest for the community?
> This is niche stuff, but I suspect useful nonetheless.
> Do not be discouraged by immediate lack of interest.
> But you may need to find some users to press your case.
> (And don't forget the need for good Boost-style docs).
I second that.
I could potentially use it myself, so I'd be interested in seeing it proposed.
(with good docs, of course :))
-- Mateusz Loskot, http://mateusz.loskot.net
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