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