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Resources: Module 04 — Unsupervised Learning

  1. scikit-learn: Clustering (https://scikit-learn.org/stable/modules/clustering.html) Complete guide to all sklearn clustering algorithms with comparison charts.

  2. "How to Use t-SNE Effectively" by Wattenberg, Viégas, Johnson (https://distill.pub/2016/misread-tsne/) Interactive visual guide explaining t-SNE's hyperparameters and common misinterpretations.

  3. "Clustering: A Data Recovery Approach" by Mirkin — Theoretical treatment of clustering as optimization.

  4. "DBSCAN Revisited" (Schubert et al., 2017) — Practical guidance on DBSCAN parameter selection. [Verify: ACM or arXiv]