Gaussian Mixture and EM Explorer

Unsupervised Learning

Gaussian Mixture and EM Explorer

Probabilistic clustering with latent structure and uncertainty.

What This Shows

Interactively fit a mixture model and observe how expectation-maximization alternates between assigning probability mass and updating component parameters. The applet makes soft clustering and uncertainty visible, which is central to segmentation problems where group membership is not obvious.

EM algorithm Mixture models Clustering Probabilistic modeling Uncertainty

Technical Challenge

Recovering latent groups when the data are noisy, overlapping, or partially ambiguous.

My Contribution

Built a two-dimensional simulator that exposes the iterative mechanics behind soft clustering.

Industry Transfer

Customer segmentation, anomaly grouping, market discovery, spatial analytics.

Connected Work

Cosmic structure analysis and unsupervised pattern discovery.