Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
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Updated
Jan 9, 2025 - Python
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
SDLDpred - Symptom-based Drugs of Lifestyle-related Diseases prediction
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.
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