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Interactive Learning
K-Means Clustering
VS
Hierarchical Clustering
K-Means partitions data into k flat clusters, while hierarchical clustering builds a tree of nested clusters without requiring k upfront.
Know number of clusters
Large dataset
Spherical cluster shapes
Speed is important
Unknown number of clusters
Want cluster hierarchy/dendrogram
Smaller dataset
Non-globular cluster shapes
K-Means Clustering
Hierarchical Clustering
Interactive lessons with visualizations and hands-on practice