1. Quiz Feb.18 273A

2. 1 Which projection in the figure above belongs to LDA and which one belongs to PCA: A) I=PCA and II=LDA B) I=LDA and II=PCA III

3. 2 Consider Kernel Fisher Discriminant Analysis with the kernel. Claim: We can generate nonlinear projects of the data with this method (linear projection = orthogonal projection on a hyperplane). A)True B)False

4. 3 In Canonical Correlation Analysis we need two datasets: {Xan|a=1..A,n=1..N} and {Zbm|b=1..B,m=1..M}. Foor CCA to work need: A)A=B and M=N B)A=B but not necessarily M=N C)M=N but not necessarily A=B D)Neither A=B nor M=N are necessary

5. 4 Minimizing the following objective would generate useful projections w’x and v’y that would be highly correlated. A)True B)False