来自MSN

Build K-Nearest Neighbors from Scratch in Python – Step by Step Tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
IEEE

Implementation and performance analysis of k-nearest neighbors algorithm for classification

Abstract: This study delves into the implementation and evaluation of the k-nearest neighbor (k-NN) algorithm, a widely used method in machine learning for classification tasks. This research examines ...
The New York Times

My Neighbors Smoke Weed All Day, and It’s Stinking Up the Joint

Asking pot smokers to better ventilate their apartments may not work in older buildings or ones with poor air circulation. By Jill Terreri Ramos Q: I am a shareholder in a northern Manhattan co-op.
GitHub

k-nearest-neighbor-classifier

This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features ...
GitHub

k-nearest-neighbor

Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems" ...