MATLAB Implementation of Backpropagation Neural Network for Iris Classification

Implementation of a BP neural network that trains on multiple iris dataset samples and tests classification performance, with detailed code explanations for network architecture, training process, and prediction algorithms

knn-k-Nearest Neighbors Algorithm Implementation for Binary Classification Function

Function code implementing the k-Nearest Neighbors (k-NN) algorithm for binary classification, which takes feature samples from two classes and a test sample vector as input, and outputs the classification result with detailed implementation explanations.