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 ...
IEEE

Comparing SVM and KNN Algorithm for High Accuracy in Brain Tumor Prediction

Abstract: The main aim of this research is to compare the efficacy of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms in high-precision brain tumor prediction, solving for the ...
Frontiers

A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy ...

1 Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India 2 P.G. Department of Computer Science, Government Arts and Science College, Madurai, Tamil Nadu, India ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
IEEE

Applying the K Nearest Neighbor algorithm (KNN) in a microwave filter

Abstract: this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning ...
GitHub

knn-algorithm

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised ...
GitHub

knn-python

This repository contains the code for a K-Nearest Neighbors (KNN) model built to classify customer segments in Türkiye using the teleCust1000T dataset. The project includes data cleaning, ...