Principal Component Analysis (PCA) and Gaussian Mixture Models (GMM) Tutorial
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Learn how to apply Principal Component Analysis (PCA) for dimensional reduction on public datasets, implement Gaussian Mixture Model (GMM) clustering techniques, and calculate Silhouette Scores to evaluate clustering performance in this 12-minute tutorial from NPTEL-NOC IITM.
Syllabus
Tutorial: Principal Component Analysis (PCA) and Gaussian Mixture Models (GMM)
Taught by
NPTEL-NOC IITM