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answerhappygod
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fast please
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Question 2 (25 pts) Given the following eigen-values of the covariance matrix calculated for a given dataset, suppose that you want to apply PCA and preserve 95% of the variance, a) Draw the proportion of variance graph. Please show your calculations performed b) What is the minimum number of principal components you need to use for dimensionality reduction? Why? Explain briefly. Only writing the answer without calculation and explanation will NOT get credit. Eigen Value 8 25 13 4 32 16 40 3 2 8
Question 2 (25 pts) Given the following eigen-values of the covariance matrix calculated for a given dataset, suppose that you want to apply PCA and preserve 95% of the variance, a) Draw the proportion of variance graph. Please show your calculations performed b) What is the minimum number of principal components you need to use for dimensionality reduction? Why? Explain briefly. Only writing the answer without calculation and explanation will NOT get credit. Eigen Value 8 25 13 4 32 16 40 3 2 8
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