Lecture 15: K Means

Unsupervised paradigm, motivation and potential applications of clustering, K-Means algorithm, pros and cons of K-Means, the Elbow plot and Silhouette plots for a given dataset, importance of input data representation in clustering.

Slides

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Outline

• Unsupervised paradigm.
• Motivation and potential applications of clustering.
• K-Means algorithm
• Pros and cons of K-Means
• The Elbow plot and Silhouette plots for a given dataset.
• Importance of input data representation in clustering.