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Subject: [boost] Interest in a tiny kmeans library
From: Raffi Enficiaud (raffi.enficiaud_at_[hidden])
Date: 2018-05-11 19:23:35

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?

Best regards,
Jean-Claude Passy and Raffi Enficiaud

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