kNN Classifier

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

Client

University of Utah

Year

2022

Type

Java

Description

In statistics, the k-nearest neighbors algorithm is a non-parametric supervised learning method first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for classification and regression. In both cases, the input consists of the k closest training examples in a data set.

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