Interactive K-means in 3D

This is an example of using widgets with ipyvolume to visualize 3D data clustering with K-means algorithm.

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Prerequisites

Docker or Jupyter notebook with ipyvolume and ipywidgets installed.

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Run notebook

Start docker container with:

docker run -p 8888:8888 sitarzkonrad/interactive-k-means:latest

Next go to http://localhost:8888 and open interactive_k_means.ipynb.

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Alternatively run it on your host with jupyter notebook command. Remember that ipyvolume and ipywidgets must be installed and the extensions enabled.