Principal Component Analysis and Anomaly Detection - Mathematics Assignment Help

Assignment Task

Question 1 - Principal Component Analysis and Anomaly Detection
Suppose that you are provided with a training dataset shown in Table 3 for which all records with projection coefficients on the first principal component (or the principal component with the largest eigenvalue) greater than or equal to 0 are from the ‘normal’ class, otherwise they are from the ‘anomaly’ class. For each record in Table 3 x1 and x2 represent features. Based on this information answer the following questions. Show your calculations and use two-decimal places.
 

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