Basically, I am confused between Fisher and LDA. Looking for differences between the two.
How is the Fischer projection computed in R?
Basically, I am confused between Fisher and LDA. Looking for differences between the two.
How is the Fischer projection computed in R?
Fischer Projection: Suggests maximizing the difference between the means,normalized by a measure of the within-class scatter.
Linear Discriminant Analysis: seeks to reduce dimensionality while preserving as much of the class discriminatory information as possible.
So, Fischer Projection method is one of the solutions for Discriminant Analysis.
R package for carrying out LDA. This tutorial on R-bloggers would give you a better idea about the concept, and it's application in R.