Re: [boost] Interest in a tiny kmeans library

Subject: Re: [boost] Interest in a tiny kmeans library
From: Paul A. Bristow (pbristow_at_[hidden])
Date: 2018-05-22 13:02:05

> -----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
> https://www.aaai.org/Papers/ICML/2003/ICML03-022.pdf
> 
> 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).

Paul

Paul A. Bristow
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