IEEE

Secure and Efficient k NN Classification for Industrial Internet of Things

Abstract: The k-nearest neighbors (kNN) classification has been widely used for defective product identification and anomaly detection in the Industrial Internet of Things (IIoT). In this article, we ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Frontiers

Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...
IEEE

An Efficient Slime Mould Algorithm Combined With K-Nearest Neighbor for Medical Classification Tasks

Abstract: Growing science and medical technologies have produced a massive amount of knowledge on different scales of biological systems. By processing various amounts of medical data, these ...
Scientific Research Publishing

A Study on Forecasting the Default Risk of Bond Based on XGboost Algorithm and Over-Sampling Method ()

1 Investment Bank Department, Chengdu Agricultural and Commercial Bank, Chengdu, China. 2 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.
Scientific Research Publishing

Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review ()

1 Department of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana. 2 Department of Statistics and Actuarial Science, University of Ghana, ...