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Supervised & Unsupervised Learning › Hierarchical Clustering

What is Hierarchical Clustering

Beginner

Answer

Hierarchical clustering is an unsupervised learning technique that builds a tree like structure of clusters, showing how data points group together at different levels of similarity.
Real-world example A biologist uses hierarchical clustering to organize different species into a tree based on genetic similarity.

Common follow-ups: What is Supervised & Unsupervised Learning, How is Hierarchical Clustering evaluated in practice, What tools are commonly used for Hierarchical Clustering