Implementation of k-nearest neighbor algorithm in Python
The k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space.The K-nearest neighbor classification performance can often be significantly improved through (supervised) metric learning. Popular algorithms are neighbourhood components analysis and large margin nearest neighbor.
If you like FreeWebMentor and you would like to contribute, you can write an article and mail your article to [email protected]
Your article will appear on the FreeWebMentor main page and help other developers.