Abstract: This study compares the performance of K-Nearest Neighbors (KNN) and Naïve Bayes in classifying air pollution levels using a dataset from Kaggle. Traditional air quality assessment methods ...

WattsNext is an R package for time series forecasting based on the Weighted Nearest Neighbors (WNN) algorithm. This package implements a memory-efficient k-nearest neighbors approach for univariate ...

Abstract: Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a best-first ...