Kerner or Deep CCA: variables cannot be normalized and display non linear relationships
Sparse CCA: number of samples greater than number of variables or smaller set of variables better
CCA cannot handle the case where no of samples greater than number of variables - Kernel/Deep CCA, Sparse CCA and Probabilistic CCAs can.