GitHub - BeNikis/K-Means-visualization: A K-means clustering visualization using SFML2.0 Beta

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A K-means clustering visualization using SFML2.0 Beta

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
README		README
k-means.cpp		k-means.cpp

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K-Means visualization inspired by the Stanford Online Machine Learning course.
Uses SFML 2.0 RC.

You can change the number of clusters from 2 to 9 by pressing 2-9 on the keyboard-the next loop will show the algorithm with that many clusters.

Known Bugs:

--Sometimes the iteration gets stuck and doesn't recognise the stability of the clusters - probably something to do with floating-point precision.
--Occurs less now that we've updated to to SFML2 RC.