Hierarchical Methods in Clustering

Scientists discover 63 new young asteroid families—more than doubling the previous number

Young asteroids—which formed much later than those that were created during the formation of our solar system—are typically ...

Topology reveals the hidden rules of amorphous materials: Softness arises from hierarchical structures

Why do glass and other amorphous materials deform more easily in some regions than in others? A research team from the University of Osaka, the National Institute of Advanced Industrial Science and ...

12d

Pulan Network Applies for Patent on Advanced Mathematics Problem-Solving Model, Thinking Chain Reasoning Assists AI in Accurate Problem Solving

Reinforcement Method for Problem-Solving Model Based on Hierarchical Thinking Chains ...

EMBO Press

A call for a unified and multimodal definition of cellular identity in the enteric nervous system

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

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 ...

IEEE

On-line monitoring of oil in water using transmitted-scattered lights and clustering-based hierarchical TSK fuzzy systems

Abstract: This paper presents an online content prediction system of oil in water using transmitted-scattered lights and clustering based hierarchical Takagi-Sugeno-Kang (TSK) fuzzy systems. The ...

Frontiers

A Precision Grading Method for Walnut Leaf Brown Spot Dis-ease Integrating Hierarchical Feature Selection and Dynamic Multi-Scale Convolution

The final, formatted version of the article will be published soon. Brown spot disease (caused by Ophiognomonia leptostyla) is one of the most destructive fungal diseases in walnut cultivation.

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 ...

Health News Florida

USF professor focuses Fulbright award on fighting cancer in Ethiopia

Bayesian hierarchical methods and survival analysis might seem esoteric to most of us, but Dr. Getachew Dagne speaks on the subject with ease. In fact, the professor of biostatistics in USF’s College ...

GitHub

A self-supervised clustering method combining adversarial autoencoders with cross-attention-based graph convolutional networks (GCN) for cell type identification in scRNA-seq ...

The code runs under Python 3.9.20 and Pytorch 2.3.1+cu121. Create a PyTorch environment and install required packages, such as "numpy", "pandas", "scikit-learn ...