Problem-: Consider the two dimensional patterns (2, 1), (3, 5), (4, 3), (5, 6), (6, 7), (7, 8). Compute the principal component using PCA Algorithm. Use PCA Algorithm to transform the pattern (2, 1) onto the eigen vector.

Here is how I have solved it-:


2nd picture

3rd picture

Here is what I am comparing with-: https://www.gatevidyalay.com/principal-component-analysis-dimension-reduction/

He gets different eigenvector than mine-: His solution

He also gets different transformation than mine-: His transformation to principal component

What is going on? Am I right? How do I verify if I am right? Where am I wrong? Please guide me..



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