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Principal Component Analysis (PCA) and Gaussian Mixture Models (GMM) Tutorial

NPTEL-NOC IITM via YouTube

Overview

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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

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