You have a large m x n data matrix M. You decide you want to perform dimension
reduction/clustering on your data and have decide to use the singular value decomposition (SVD;
also called principal components analysis PCA)
You performed singular value decomposition (SVD; also called principal components analysis or
PCA) on you data matrix but you did not center your data first. What does your first singular
component describe?
A.
The mean of the data set
B.
The variance of the data set
C.
The standard deviation of the data set
D.
The maximum of the data set
E.
The median of the data set