Nearest neighbour classification techniques, particularly the k‐nearest neighbour (kNN) algorithm, have long been valued for their simplicity and effectiveness in pattern recognition and data ...

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter. The ...

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...

Multi-class classification is a machine learning technique to predict the value of a variable that can be one of three or more possible values. For example, you might want to predict the political ...