Principal Component Analysis: Eigenfaces

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Description

This lecture covers the application of Principal Component Analysis (PCA) in facial recognition using the 'Labelled Faces in the Wild' dataset. Topics include downloading the dataset, normalizing data, computing principal components, plotting them, analyzing variance, and comparing classifier performance.

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Information engineering

Data science: Dimensionality reduction

Related lectures (32)

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In course

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Instructor

laboris id pariatur aute

Ontological neighbourhood

Information engineering

Data science: Dimensionality reduction

Related lectures (32)

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