5 only.
Multivariate problem
step by step solution needed
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5. Let Xpxl be a random vector with Disp(X) = 2. Let m(< p) factor model hold for X and let S = LL' +0. Explain the method of estimating L and using principal component analysis and give a measure of closeness of approximation. 6.(a) Explain the steps for k-means clustering,
5. Let Xpxl be a random vector with Disp(X) = 2. Let m(< p) factor model hold for X and let S = LL' +0. Explain the meth
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5. Let Xpxl be a random vector with Disp(X) = 2. Let m(< p) factor model hold for X and let S = LL' +0. Explain the meth
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