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.

For the uninitiated, the K-nearest neighbors or kNN Algorithm is a very simple classification algorithm that uses similarities between given sets of data and a data point being examined to predict ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

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