Lectures related to Characterisation of Clusters: Homogeneity, Separability

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Covers clustering and the K-means algorithm for partitioning datasets into clusters based on similarity.

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.