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Learn about key clustering algorithms and techniques in this comprehensive data mining lecture, covering Hierarchical Agglomerative Clustering (HAC) methods including Single-Link, Complete-Link, and Mean-Link approaches. Explore fundamental concepts of clustering, dive into density-based clustering with DBScan, and discover strategies for determining the optimal number of clusters (k). Master essential clustering methodologies used in data mining through detailed explanations and practical examples.
Syllabus
Data Mining Lecture 11 - Hierarchical Clustering
Taught by
UofU Data Science