GitHub - monyakenes/Image-compression-with-PCA: Principal Component Analysis is the method to find a linear combination of the original variables with maximum variance to extract most information from data.

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Principal Component Analysis is the method to find a linear combination of the original variables with maximum variance to extract most information from data.

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Principal Component Analysis is the method to find a linear combination of the original variables with maximum variance to extract most information from data.

r image-compression principal-component-analysis

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