Dimensionality Reduction - Rotational Techniques

#1

Q1 What are the different types of Rotation while applying Dimensionality Reduction ML techniques?
How do you know when to apply which Rotational technique?

Could you elaborate on it?

#2

PCA, which is a dimensionality reduction technique, is essentially the rotation of the coordinate axes, chosen such that each successful axis captures or preserves as much variance as possible. You can read more about PCA in the course videos.

#3

You can also read this paper on Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction:

https://www.researchgate.net/publication/3297983_Rotational_Linear_Discriminant_Analysis_Technique_for_Dimensionality_Reduction

#4

An informative article on how Measures of Dispersion forms an important aspect in Dimensionality Reduction ML algorithm technique.

Indeed it does help…!!! Thanks once again!!!