Re: [boost] Interest in a tiny kmeans library

Subject: Re: [boost] Interest in a tiny kmeans library
From: Philipp Schwaha (philipp_at_[hidden])
Date: 2018-05-23 09:01:21

Hi,

Fri, May 11, 2018 at 09:23:35PM +0200, Raffi Enficiaud via Boost wrote:
> 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.

Bindings to matlab are an often requested feature, at least from my
experience.

> 
> I would be happy if we can release this library into Boost.
> Do you think there is any interest for the community?
> 

I am interested in such a library and consider it very useful. Is there
a possibility to have a look at it somewhere and to experiment with it a
bit?

Thanks in advance
   Philipp