K-Nearest Neighbors – a simple example using R and Python
The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems.
KNN stores all available cases and classifies (or gives expected values of) new cases based on a similarity measure. Here we look at a simple example using both R and Python.
