Source: DeepHub IMBA This article is about 4200 words long and is recommended to be read in over 10 minutes. This article demonstrates the use of KNN with three different distance metrics. The k-nearest neighbors (KNN) algorithm is a simple yet powerful algorithm that can be used for classification and regression tasks. It is easy … Read more
This article introduces one of the most basic and also the “laziest” algorithms in machine learning—KNN (k-nearest neighbor). Do you know why it is considered the laziest? 01|Algorithm Overview: KNN is short for k-nearest neighbor, which refers to the K closest points. This algorithm is commonly used to solve classification problems. The specific principle of … Read more
1. Overview of KNN Algorithm KNN can be said to be one of the simplest classification algorithms, and it is also one of the most commonly used classification algorithms. Note that KNN is a supervised learning classification algorithm, which looks somewhat similar to another machine learning algorithm, Kmeans (Kmeans is an unsupervised learning algorithm), but … Read more