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-:
Here is what I am comparing with-: https://www.gatevidyalay.com/principal-component-analysis-dimension-reduction/
What is going on? Am I right? How do I verify if I am right? Where am I wrong? Please guide me..