The document discusses the K-nearest neighbors (KNN) algorithm, a supervised machine learning classification method. KNN classifies new data based on the labels of the k nearest training samples in feature space. It can be used for both classification and regression problems, though it is mainly used for classification. The algorithm works by finding the k closest samples in the training data to the new sample and predicting the label based on a majority vote of the k neighbors' labels.