7.7 kmeans train movies
20220225
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.
Using --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.
Use --movie= (-m) to save the generated movie of the iterations of
the algorithm to an mp4 file. This can be combined with --view
(-v) to also display the movie.
Playing the resulting movie file will show the animation, from which we might capture a few screens:
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0
