Journal of Medical Internet Research

Tensorial Principal Component Analysis in Detecting Temporal Trajectories of Purchase Patterns in Loyalty Card Data: Retrospective Cohort Study

Objective: This study aimed to use the modern tensorial principal component analysis (PCA) method to uncover the characteristics of health-related purchase patterns from loyalty card data. Another aim ...

The Future of Customization: Prosub on Sublimation Phone Case Innovation

DONGGUAN, GUANGDONG PROVINCE, CHINA, January 21, 2026 /EINPresswire.com/ -- As the global trend of personalized ...
IEEE

Uncovering Population Patterns in Volcanic Areas with PCA(Principal Component Analysis of Population Pattern in Volcanic Areas

Abstract: In this paper, we have applied PCA(principal component analysis) to a dataset related to volcanic eruptions, focusing on those variables connected with population density at several ...
IEEE

Magnetic Anomaly Detection Using a Reduced Set of Principal Components Based On 2D Pattern Recognition

Abstract: Magnetic anomaly detection (MAD) is used for detection of visually obscured ferromagnetic objects such as sunken ship wrecks, unexploded ordnance (UXO), archaeological artifacts and mineral ...