Principal Component Analysis (PCA)

15 mins read 0 words Topic 5 of 10

Explanation of PCA as a dimensionality reduction technique used to identify patterns in multivariate data by transforming variables into a smaller set of uncorrelated components.

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Introduction to Multivariate Analysis

Multivariate Data Types

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Multivariate Data Visualization

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Multivariate Normal Distribution

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Principal Component Analysis (PCA)

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Factor Analysis

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Cluster Analysis

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Discriminant Analysis

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Multivariate Analysis of Variance (MANOVA)

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Canonical Correlation Analysis

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