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Multivariate Analysis And PCA

Multivariate Analysis And PCA. Principal Components Analysis ( PCA). Is a Factor Analytic method Can be used to: Reduce number of dimensions in data Find patterns in high-dimensional data Visualize data of high dimensionality Example applications: Face recognition Image compression

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Multivariate Statistics

Multivariate Statistics. ESM 206, 5/17/05. A collection of techniques to help us understand patterns in and make predictions with large datasets with many variables Ordination: find a (hopefully small) number of composite variables that capture most of the variability among data points

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Multivariate Analysis And PCA

Multivariate Statistics