We want to visualize the patient data of Table 2 into a 3-dimensional space. We need to reduce the last 4 columns of Tab

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We want to visualize the patient data of Table 2 into a 3-dimensional space. We need to reduce the last 4 columns of Tab

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We Want To Visualize The Patient Data Of Table 2 Into A 3 Dimensional Space We Need To Reduce The Last 4 Columns Of Tab 1
We Want To Visualize The Patient Data Of Table 2 Into A 3 Dimensional Space We Need To Reduce The Last 4 Columns Of Tab 1 (60.87 KiB) Viewed 18 times
We want to visualize the patient data of Table 2 into a 3-dimensional space. We need to reduce the last 4 columns of Table 2 into 3 columns. One way is to choose 2 columns and reduce them to 1 column. (a) Among the 4 indicators in Table 2, choose 2 indicators that are mostly deserved to be reduced by PCA, and explain why. [4 marks] (b) Apply PCA on the two columns you choose, to reduce them to one column. During PCA calculation, use sample variance and sample covariance. Show all calculation details. (Keep values in 2 decimal places) [10 marks] (c) Explain 3 reasons why we need dimensionality reduction. [6 marks]
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