k-nearest neighbors algorithm - Wikipedia
Most often, it is used for classification, as a k-NN classifier, the output of which is a class membership. An object is classified by a plurality vote of its neighbors, with the object being assigned to the class …
K-Nearest Neighbor (KNN) Algorithm - GeeksforGeeks
Dec 23, 2025 · When you want to classify a data point into a category like spam or not spam, the KNN algorithm looks at the K closest points in the dataset. These closest points are called neighbors.
What is the k-nearest neighbors (KNN) algorithm? - IBM
The k-nearest neighbors (KNN) algorithm is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point.
What is k-Nearest Neighbor (kNN)? | A Comprehensive k-Nearest
kNN, or the k-nearest neighbor algorithm, is a machine learning algorithm that uses proximity to compare one data point with a set of data it was trained on and has memorized to make predictions.
What Is a K-Nearest Neighbor Algorithm? | Built In
May 22, 2025 · K-nearest neighbor (KNN) is a non-parametric, supervised machine learning algorithm that classifies a new data point based on the classifications of its closest neighbors, and is used for …
K-Nearest Neighbors (KNN) in Machine Learning
K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both classification as well as regression predictive problems. However, it is mainly used for classification …
What Is K-Nearest Neighbors (KNN) Algorithm in ML? - Zilliz
Mar 2, 2025 · The knn algorithm is a supervised machine learning algorithm that can solve both classification and regression problems. It estimates the likelihood that a data point will belong to one …
KNN Algorithm – K-Nearest Neighbors Classifiers and Model Example
Jan 25, 2023 · How Does the K-Nearest Neighbors Algorithm Work? The K-NN algorithm compares a new data entry to the values in a given data set (with different classes or categories). Based on its …
K-Nearest Neighbor (KNN) Algorithm: Use Cases and Tips - G2
Jul 2, 2025 · What it is: KNN is a simple, supervised machine learning algorithm that makes predictions based on the closest labeled data points, relying on distance rather than prior training to classify or …
Python Machine Learning - K-nearest neighbors (KNN) - W3Schools
KNN is a simple, supervised machine learning (ML) algorithm that can be used for classification or regression tasks - and is also frequently used in missing value imputation.