Do you want BuboFlash to help you learning these things? Or do you want to add or correct something? Click here to log in or create user.



Question
One category of statistical dimension reduction techniques is commonly called principal components analysis (PCA) or the singular value decomposition (SVD). These techniques generally are applied in situations where the *** of a matrix represent observations of some sort and the *** of the matrix represent features or variables (but this is by no means a ***).
Answer
One category of statistical dimension reduction techniques is commonly called principal components analysis (PCA) or the singular value decomposition (SVD). These techniques generally are applied in situations where the rows of a matrix represent observations of some sort and the columns of the matrix represent features or variables (but this is by no means a requirement).

Question
One category of statistical dimension reduction techniques is commonly called principal components analysis (PCA) or the singular value decomposition (SVD). These techniques generally are applied in situations where the *** of a matrix represent observations of some sort and the *** of the matrix represent features or variables (but this is by no means a ***).
Answer
?

Question
One category of statistical dimension reduction techniques is commonly called principal components analysis (PCA) or the singular value decomposition (SVD). These techniques generally are applied in situations where the *** of a matrix represent observations of some sort and the *** of the matrix represent features or variables (but this is by no means a ***).
Answer
One category of statistical dimension reduction techniques is commonly called principal components analysis (PCA) or the singular value decomposition (SVD). These techniques generally are applied in situations where the rows of a matrix represent observations of some sort and the columns of the matrix represent features or variables (but this is by no means a requirement).
If you want to change selection, open document below and click on "Move attachment"

pdf

owner: aelizzybeth - (no access) - Exploratory_Data_Analysis_with_R_Peng.pdf, p128

Summary

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Details

No repetitions


Discussion

Do you want to join discussion? Click here to log in or create user.