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Lec-17: K-medoids Clustering with Numerical Example | Machine Learning
11:53
YouTubeGate Smashers
Lec-17: K-medoids Clustering with Numerical Example | Machine Learning
K-medoids Clustering is a robust clustering algorithm similar to K-means, but it uses actual data points (medoids) as cluster centers instead of the mean. In this video, we’ll walk through a numerical example of K-medoids Clustering, demonstrating how the algorithm groups data and selects medoids to form distinct clusters
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