X 0.5 1.0 1.5 1.1 ii. 1.9 2.2 2.6 2.0 2.5 3.1 Table 1 y 0.7 1.1 1.6 0.9 2.2 2.9 2.7 1.6 New data set (from 2D to 1D redu

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answerhappygod
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X 0.5 1.0 1.5 1.1 ii. 1.9 2.2 2.6 2.0 2.5 3.1 Table 1 y 0.7 1.1 1.6 0.9 2.2 2.9 2.7 1.6 New data set (from 2D to 1D redu

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X 0 5 1 0 1 5 1 1 Ii 1 9 2 2 2 6 2 0 2 5 3 1 Table 1 Y 0 7 1 1 1 6 0 9 2 2 2 9 2 7 1 6 New Data Set From 2d To 1d Redu 1
X 0 5 1 0 1 5 1 1 Ii 1 9 2 2 2 6 2 0 2 5 3 1 Table 1 Y 0 7 1 1 1 6 0 9 2 2 2 9 2 7 1 6 New Data Set From 2d To 1d Redu 1 (37.17 KiB) Viewed 32 times
X 0.5 1.0 1.5 1.1 ii. 1.9 2.2 2.6 2.0 2.5 3.1 Table 1 y 0.7 1.1 1.6 0.9 2.2 2.9 2.7 1.6 New data set (from 2D to 1D reduction) 23 2.4 3.0 e) By referring a set of data provided in Table 1, develop the Python code to perform dimensionality reduction using PCA. algorithm and compute the followings: i. Feature vector with both eigenvectors. WIA1006/WID3006 2 (2 marks) (8 marks)
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