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What does using top n eigenvectors to project each image to n dimensions mean? n = some positive integer Also after that what does it

What does using top n eigenvectors to project each image to n dimensions mean? n = some positive integer

Also after that what does it mean to identify for each dimension the image that has the largest value in that dimension?

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