Kl transform (Explanation with a sum) 

Thank you for the feedback. It will be difficult for me to do a video for the reconstruction in near future. I will try to do it. Mean while you can look at my video of PCA which is the basis of this KL transform. If you understand PCA you will easily understand the KL transform and its reconstruction. Link for visualization ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-tfbJA9FM3Uw.html Link for the complete maths behind PCA ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-hJbvC6HkZLw.html

Thank you so very much brother ... thank you so very much for these kind and precious words .. 😊🙏

Happy to help 😊

So to be clear you put the eigen vectors in the columns of A.

Thank you so much ..😊

I hope all your doubts are cleared if any you can email me the queries 😊

It is right please check your calculation it is basically 0.5x0.25 - 0.25×0.25 = 0.125 - 0.0625 = 0.0625

I have not made on that yet will try to make

Can you please point out where have I done the mistake in the video .. Thanks

@@pratikian bro it is not matrix multiplication it is array multiplication there is vast defference between array ( normal multiplication ) and matrix multiplication

No no it is matrix multiplication

@@pratikian (m1×n1)×(m2×n2)=n1×m2 matrix once verify given intially u multiply [(2×1)×(1×2)]=1×1matrix but u shows 2×2matrix how can it possible

@@AvinyaSolutions so a correction in the matrix multiplication size that you mentioned [ MxN ] x [ NxM ] = [ MxM ] So [ 2X1 ] x [ 1X2 ] = [ 2X2 ]

After finding the transformation function you can find the transformed output Y by the formula that os given .

How to multiply vector with the matrix 'A'

@@niravmehta5559 X is a 2×4 matrix and A is 2×2 so you can apply normal matrix multiplication

@@pratikian the mean matrix u is a 2*1 matrix,right? In order to subtract it from X, will we assume the other elements of u to be zero?

@@bharatagarwal33 no its like subtracting the x colums of x matrix with mean Eg 1 2 3 4 - 1 5 6 7 8 2 = 0 1 2 3 3 4 5 6

+Rohit Pawar yes