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Q 2 [ 2 0 Marks ] ( a ) Consider the four 2 - dimensional data points: a : ( 6 , 6 )

Q2[20 Marks]
(a) Consider the four 2-dimensional data points:
a:(6,6),b:(8,8),c:(5,9) and d:(9,5)
We can make use of PCA for dimensionality reduction. In dimensionality reduction, given an L-
dimensional data point, we want to transform this point to a K-dimensional data point where L=2K=1K such
that the information loss during the transformation is minimized.
Please illustrate with the above example when L=2 and K=1. Please write the numbers upto2 decimal
places. You cannot use XLMiner in this part.
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