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.

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 ...

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 ...

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