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Recitation 8: Hierarchical and k-means Clustering

Recitation 8: Hierarchical and k-means Clustering

This video was recorded at 6.00SC Introduction to Computer Science and Programming, Spring 2011 . Topics covered: Unsupervised learning, k-means clustering, distance metric, cluster merging, centroid, k-mean error, hold out set, k value significance, features of k-means clustering, merits and disadvantages of types of clustering.

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