#principal-components

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easyAI-checkedDimensionality Reduction

For a centered dataset, which direction does PCA choose as the first principal component?

The unit vector along which the projected data have the largest variance1
The unit vector along which the projected data have the smallest variance2
The original feature axis whose own values have the largest variance3
The unit vector along which the labelled classes are best separated4

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