Time left 0:23:4 The training examples closest to the separating hyperplane are called O a. Training vectors O b. Test vectors on O c. Support vectors O d. None of the Above The difference between supervised learning and unsupervised learning is given by Select one: on a. there is no difference b. unlike unsupervised learning, supervised learning can be used to detect outliers c. unlike unsupervised learning, supervised learning needs labeled data d. unlike supervised leaning, unsupervised learning can form new classes