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A dataset D has 64 points. Each point in D is a vector of length 6830, in other words there are6830 features. If we do

A dataset D has 64 points. Each point in D is a vector of length 6830, in other words there are6830 features. If we do Principal Component Analyses (PCA) of this dataset D, how many principal components with non-zero variance would we get? Explain why?

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