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Basically, I am confused between Fisher and LDA. Looking for differences between the two.

How is the Fischer projection computed in R?

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closed as unclear what you're asking by gung - Reinstate Monica, kjetil b halvorsen, John, StasK, Silverfish Aug 26 '15 at 21:31

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    $\begingroup$ Fischer projection is a concept from chemistry - how to draw a 3d molecule in 2d. Do you mean the statistician Fisher, who investigated LDA? $\endgroup$ – Silverfish Aug 27 '15 at 7:41
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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.

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  • $\begingroup$ Glad it helped. $\endgroup$ – Dawny33 Aug 27 '15 at 3:19
  • $\begingroup$ Shouldn't it be Fisher not Fischer? See my comment under the question. $\endgroup$ – Silverfish Aug 27 '15 at 7:39
  • $\begingroup$ Ohh, that "c" has created a confusion. It might be "Fisher" too. Maybe only @Disha would be able to tell. As Fischer and LDA have close relation, I assumed it as "Fischer" $\endgroup$ – Dawny33 Aug 27 '15 at 7:43

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