IEEE

Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection

Abstract: Camouflaged object detection (COD) aims to identify the objects that seamlessly blend into the surrounding backgrounds. Due to the intrinsic similarity between the camouflaged objects and ...
IEEE

D2D-Assisted Hierarchical Federated Learning With Clustering Based on Graph Convolutional Networks

Abstract: Federated Learning (FL) is a popular privacy-preserving machine learning paradigm, enabling collaborative training among distributed devices coordinated by a central server, without ...
GitHub

IfyQ/DS_Hierarchical_Clustering

This project applies hierarchical clustering to group local authorities in England based on case closure reasons from the Children in Need Census (2013–2024). It supports benchmarking, policy ...
Frontiers

Accounting for clustering for self-reported outcomes in the design and analysis of population-based surveys: A case study of estimation of prevalence of epilepsy in Nairobi, Kenya

Population-based surveys are common for estimation of important public health metrics such as prevalence. Often, survey data tend to have a hierarchical structure where households are clustered within ...