Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about hierarchical clustering in this comprehensive data mining lecture that covers fundamental clustering concepts and algorithms. Begin with an introduction to clustering fundamentals before exploring various categories of clustering algorithms. Dive deep into hierarchical clustering methods, understanding how to measure cluster proximity and determine optimal stopping points. Examine efficiency considerations in clustering implementations and discover techniques for validating cluster quality. The lecture concludes with practical insights into cluster validation methods, providing a thorough foundation in hierarchical clustering approaches for data mining applications.