This project forked from sitzikbs/gmm_tutorial
This code completes a tutorial about gaussian mixture models (gmm) in python using scikit-learn
License: MIT License
This code was used in the blog post "What is a Gaussian Mixture Model (GMM) - 3D Point Cloud Classification Primer".
It is composed of three main parts:
You will need to have matplotlib, scikit-learn and ofcourse numpy installed.
The code was tested on Python 3.5.2 on Windows.
Simply run estimate_gmm_sklearn.py.
Change the variable D to be 2 or 3 for 2D or 3D results respectively.
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