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Simple interactive tool for visualizing Kmeans algorithm

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Simple Interactive Kmeans Visualization

Notebook

Creating 2D and 3D interactive Kmeans scatter plots using plotly, ipywidgets and scikit-learn's Kmeans algorithm.

Use widgets to update number of samples and centers in data generation, and number of clusters for algorithm.

3d_demo.gif

Setup:

To create a conda environment with requirements:

conda env create -f=/path/to/requirements.txt -n <name_of_env>

source activate <name_of_env>

jupyter notebook

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Simple interactive tool for visualizing Kmeans algorithm

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