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Yes. The author of "Information Theory, Inference and Learning Algorithms" had this to say about it: http://www.amazon.com/review/R16RJ2PT63DZ3Q/ref=cm_cr_rev
by Bill_Dimm 13y ago
Yes. The author of "Information Theory, Inference and Learning Algorithms" had this to say about it:
http://www.amazon.com/review/R16RJ2PT63DZ3Q/ref=cm_cr_rev_detmd_pl?ie=UTF8&asin=0521642981&cdForum=Fx37214P6NH2KSB&cdMsgID=Mx19BAIRVRARPZV&cdMsgNo=1&cdPage=1&cdSort=oldest&cdThread=Tx2OVZUUHW9MMJ9&store=books#Mx19BAIRVRARPZV http://www.amazon.com/review/R16RJ2PT63DZ3Q/ref=cm_cr_rev_de...
- joe_the_user 13y agoAn interesting argument. It seems like PCA would already be a method that would only mean something if it was applied to comparable dimensions. What would transformed, dimensioned variables mean anyway? Chart A=mass - 3charge by B = mass + 2charge. What could a correlation mean.
- twstws 13y agoIt's not dimensionally invalid if you remove the dimensions via normalization.