The kmeans algorithm iterates over placing k midpoints (means) within the dataset. Each time the cluster gets better, in that the points within a cluster belong more together than with the points in another cluster.
--view (`-v) a movie of the iterations of the algorithm will
be generated and displayed. Each step of the algorithm may move the
centre point, maybe ever so slightly as the algorithm converges on to
the best fit.
ml train kmeans 3 iris.csv --view
-m) to save the generated movie of the iterations of
the algorithm to an mp4 file. This can be combined with
-v) to also display the movie.
ml train kmeans 3 iris.csv --movie movie.mp4 --view
Playing the resulting movie file will show the animation, from which we might capture a few screens:
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