Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...
Scientific Research Publishing

G. Jagannathan, K. Pillaipakkamnatt and R. Wright, “A New Privacy Preserving Distributed k-Clustering Algorithm,” In Proceeding of the 6th SIAM International Conference on ...

ABSTRACT: Data mining has been a popular research area for more than a decade. There are several problems associated with data mining. Among them clustering is one of the most interesting problems.
BioSpace

Insulet Announces FDA 510(k) Clearance of Omnipod® 5 Algorithm Enhancements that Redefine Insulin Delivery and Simplify the Pod Experience

New 100 mg/dL Target Glucose setting offers more customization and tighter glucose management. Enhanced algorithm helps users remain in Automated Mode to improve the user experience. Most requested ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
IEEE

Research on Improved k-Means Clustering Algorithm Based on Density-Weighted Canopy

Abstract: This paper proposes an improved K-means clustering algorithm based on density-weighted Canopy to address the efficiency bottlenecks and clustering accuracy issues commonly encountered by ...
IEEE

Examining the Impact of Distance-Based Similarity Metrics on the Performance of Projected Clustering Algorithm for Fingerprint Database Clustering

Abstract: The projected clustering (PROCLUS) algorithm is a subspace clustering algorithm based on the k-medoids clustering approach. It is designed to address the challenges of irrelevant received ...
Frontiers

Hamiltonian formulations of centroid-based clustering

1 Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea 2 Department of Applied Statistics, Yonsei University, Seoul, Republic of Korea Clustering is a fundamental ...