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Learning second order dynamical system
Implemented an auto-clustering tool with seed and number of clusters finder. Optimizing algorithms: Silhouette, Elbow. Clustering algorithms: k-Means, Bisecting k-Means, Gaussian Mixture. Module includes micro-macro pivoting, and dashboards displaying radius, centroids, and inertia of clusters. Used: Python, Pyspark, Matplotlib, Spark MLlib.
A novel image compressor based on a mixed integer linear program
Unsupervised learning algorithms to cluster students of a public school
A minimal working example of the spectral mixture kernel