Artificial Intelligence – perform image compression and point cloud segmentation.

I have a wireframe and dataset provided in IPYNB in which you need to implement the following

  1. Implement k-means clustering to segment a color image.

  2. Familiarize yourself with the algorithm by running it on simple dataset.

  3. Build a Gaussian mixture model to be trained with expectation-maximization.

  4. Experiment with varying the details of the Gaussian mixture model’s implementation.

  5. Implement and test a new metric called the Bayesian information criterion, which guarantees a more robust image segmentation.

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