Question

Differentiate between competitive learning and supervised learning

Answer 1

In supervised learning, the decision on the unlabeled data is done after learning a classifier using available training samples, as examples of supervised classifiers we have Support Vector Machines (SVM), Artificial Neural Network (ANN). Whereas, in an unsupervised system, the classifier does not have any labeled samples. In this later case, the classification is done by exploiting some criteria like Euclidean distance or Fisher separability measure, a common example of the unsupervised classification method is the k-means cluster classifier.