KNN Algorithm

The k-Nearest Neighbors (kNN) algorithm is a fundamental machine learning method used for both classification and regression tasks, aiming to predict the properties of a data point based on its proximity to known data points. Current research focuses on improving kNN's efficiency and accuracy, particularly through novel distance metrics, optimized parameter selection (like the optimal 'k' value), and incorporating variable selection or dimensionality reduction techniques to enhance performance, especially with high-dimensional data or limited sample sizes. These advancements are impacting diverse fields, from biomedical applications and tool condition monitoring to prosthetic control and natural language processing, by providing robust and interpretable models for various prediction tasks.

Papers

May 10, 2024

A Novel Pseudo Nearest Neighbor Classification Method Using Local Harmonic Mean Distance
Junzhuo Chen, Zhixin Lu, Shitong Kang
Nearest Neighbor Message Passing Neural Network K$ Distance KNN Algorithm

February 2, 2024

kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection
Marcos Matabuena, Juan C. Vidal, Oscar Hernan Madrid Padilla, Jukka-Pekka Onnela
Practical Algorithm Variable Selection Variance Estimation Dimensional Random Vector KNN Algorithm

October 23, 2023

Making informed decisions in cutting tool maintenance in milling: A KNN based model agnostic approach
Aditya M. Rahalkar, Om M. Khare, Abhishek D. Patange
Feature Selection Agnostic Approach Tool Wear Informed Decision Milling Process Machining Feature KNN Algorithm KNN Seq

August 21, 2023

Instance-based Learning with Prototype Reduction for Real-Time Proportional Myocontrol: A Randomized User Study Demonstrating Accuracy-preserving Data Reduction for Prosthetic Embedded Systems
Tim Sziburis, Markus Nowak, Davide Brunelli
Data Reduction Instance Based Learning Myoelectric Control Electromyography Data KNN Algorithm

February 27, 2023

kNN-BOX: A Unified Framework for Nearest Neighbor Generation
Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen
Unified Framework Nearest Neighbor kNN MT KNN Clip KNN Algorithm

February 26, 2023

Improving Representational Continuity via Continued Pretraining
Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang
Continual Learning Continual Pre Training Continual Learning Benchmark Continuous Representation Continual Representation Learning KNN Algorithm

December 30, 2021

Feature Extraction, Classification and Prediction for Hand Hygiene Gestures with KNN Algorithm
Rashmi Bakshi
Classification Code Human Prediction Feature Extraction High Quality Gesture Hand Feature Hand Hygiene KNN Algorithm

KNN Algorithm

Papers

A Novel Pseudo Nearest Neighbor Classification Method Using Local Harmonic Mean Distance

kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection

Making informed decisions in cutting tool maintenance in milling: A KNN based model agnostic approach

Instance-based Learning with Prototype Reduction for Real-Time Proportional Myocontrol: A Randomized User Study Demonstrating Accuracy-preserving Data Reduction for Prosthetic Embedded Systems

kNN-BOX: A Unified Framework for Nearest Neighbor Generation

Improving Representational Continuity via Continued Pretraining

Feature Extraction, Classification and Prediction for Hand Hygiene Gestures with KNN Algorithm