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Related lectures (32)
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Clustering: Hierarchical and K-means Methods
Introduces hierarchical and k-means clustering methods, discussing construction approaches, linkage functions, Ward's method, the Lloyd algorithm, and k-means++.
Characterisation of Clusters: Homogeneity, Separability
Explores centroid, medoid, homogeneity, separability in clustering, quality evaluation, stability, expert knowledge, and clustering algorithms.