Density-based clustering for vector embeddings using HDBSCAN and cosine similarity. Features automatic parameter search, PCA, and quality metrics without defining cluster counts.
scikit-learn pca topic-modeling outlier-detection unsupervised-learning vector-space cluster-analysis dbscan density-based-clustering hdbscan vector-clustering
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Updated
Nov 29, 2025 - Jupyter Notebook