The Olympic Games are the world’s foremost sporting event, with over 200 countries participating. As the Games evolve, sports, disciplines, and events (SDEs) are periodically added or removed. The ...

This project applies K-Nearest Neighbors (KNN) classification to predict breast cancer diagnosis (Malignant or Benign) using the texture_mean feature from a medical dataset. It includes preprocessing, ...

ABSTRACT: The early detection of type 2 diabetes is a major challenge for healthcare professionals, as a late diagnosis can lead to severe and difficult-to-manage complications. In this context, this ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: This research work aims at developing Alzheimer’s disease detection and classification using KNN classifiers. This study involves two groups and they are Weighted KNN (N=30) classifiers and ...

Introduction: Modern consciousness research has developed diagnostic tests to improve the diagnostic accuracy of different states of consciousness via electroencephalography (EEG)-based mental motor ...

Abstract: In this paper we analyze the influence of the distance type and votes weighting used in data classification with the help of the K-nearest neighbor (KNN) classifier. We also compare the KNN ...