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In a dataset with five attributes, that is, the absolute values of the five eigenvalues are in the proportion 5:4:3:2:1. If one is happy to
In a dataset with five attributes, that is, the absolute values of the five eigenvalues are in the proportion 5:4:3:2:1. If one is happy to reduce dimensions so long she can explain 90% of the variance in the data, the minimum number of principal components she can work with will be ?
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