KNN is one of the most popular and widely used classification technique used in machine learning. It classifies according to its neighbors are classified. Classifiers are designed and developed to learn a model that maps the inputs to the class which are labeled as the training set and becomes available to perform and use. It basically predicts the output from the definite training sets. It is also known as LLC, not because it is a simple approach, but because of the reason it doesn’t learn a discriminative function from the training set, rather it memorizes the data set
Volume 11 | 07-Special Issue
Pages: 63-69