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 ...

k-Nearest Neighbour (kNN): A classification algorithm that assigns a class to a data point based on the most common class among its k closest examples in the training data.

Short text classification is nothing but a process of assigning various input short texts to one or more target categories based on its contents.

The weighted k-NN classification algorithm has received increased attention recently for two reasons. First, by using neural autoencoding, k-NN can deal with mixed numeric and non-numeric predictor ...