Perceptron algorithm for binary classification

The training objectives of the learning object are: 1) To interpret linear classifiers in the binary case; 2) To apply the Perceptron algorithm in the binary case; 3) To know Novikoff¿s convergence theorem; and 4) To know the basic limitations of the Perceptron algorithm. Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2019). Perceptron algorithm for binary classification. http://hdl.handle.net/10251/121157