Hierarchical Clustering — Roadmap Step & Resources
Building a tree of nested clusters without pre-specifying the number of clusters
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Machine Learning
Before this step
Study resources
- Hierarchical Clustering (Article) — Well-structured learning material for understanding Hierarchical Clustering with examples and practical explanations.
- Hierarchical Clustering, Clearly Explained (Video) — StatQuest's widely-loved explanation of hierarchical clustering and dendrograms.
- Hierarchical Clustering (Article) — The official scikit-learn documentation for hierarchical clustering.
- K-Means Clustering Algorithm — Analytics Vidhya (comprehensive guide incl. hierarchical & DBSCAN links) (Article) — K-Means Clustering Algorithm — Analytics Vidhya (comprehensive guide incl. hierarchical & DBSCAN links) — resource aligned with Hierarchical Clustering.
- Lecture 6 - Clustering K-Means, K-Medoids, Hierarchical & DBSCAN — eLecturesAI (with Python code) (Article) — Lecture 6 - Clustering K-Means, K-Medoids, Hierarchical & DBSCAN — eLecturesAI (with Python code) — resource aligned with Hierarchical Clustering.
Part of
- Unsupervised Learning — section
- Machine Learning roadmap — the full learning path