Lecture 7: Unsupervised Learning I

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Supervised vs. Unsupervised Learning

Supervised Learning

Unsupervised Learning

Introduction to Clustering

Types of Clustering

Hierarchical Clustering

Partitional Clustering

Bayesian Clustering

Hierarchical Clustering

Agglomerative Clustering

Divisive Clustering

Linkage Strategies

Example: Single-Linkage

Determining Number of Clusters

K-Means Clustering

Algorithm

Optimization Objective

Convergence Properties

Initialization Strategies

Choosing K

Practice Problems

Key Takeaways