Frontiers

Efficient vegetation filtering method using K-means clustering algorithm: case study of high steep rock slope

The final, formatted version of the article will be published soon. Rocky high steep slopes are prone to slope instability, resulting in serious disasters like landslides and avalanches. In practical ...
Scientific Research Publishing

Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns ()

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...
IEEE

A Hybrid Particle Swarm Optimization K-Means Algorithm with Quantum Behavior

Abstract: The K-means algorithm is a partition-based clustering approach with two notable drawbacks, sensitivity to the initial center and a tendency to converge to suboptimal solutions. To address ...
Scientific Research Publishing

Zhou, X.D., Dong, H.Q., Zhang, K.P., Hou, J.C. and Sun, S.F. (2025) Research on K-Means Initial Cluster Center Optimization Algorithm Based on Geometry. Instrument Technology ...

ABSTRACT: As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable ...
IEEE

Efficient Hardware Architecture Design of K-Means Clustering Algorithm for AV1 Palette Mode Coding

Abstract: The palette mode is a specialized coding tool for coding screen content video in Alliance for Open Media Video 1 (AV1), and K-means clustering is a necessary step in the palette mode.
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) ...