Tag: clustering

A new clustering algorithm called 3L-GBC models dense, transitional, and sparse regions within clusters using granular balls to better handle ...

Palmprint recognition has quietly become one of the most reliable biometric technologies in the world, but a team of Algerian ...

A new clustering method for federated learning in wireless sensor networks reduces communication overhead by up to 4% and achieves ...

Researchers in China have developed a self-supervised graph neural network that classifies the urgency of urban patrol cases without any ...

Moroccan researchers have developed a memory-enhanced fractional self-organizing map that clusters household energy consumption from survey data, revealing stark links ...

A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...

A new PLOS Complex Systems study shows that multi-scale local clustering in real interaction networks, absent from common synthetic models, ...

An explainable generative deep learning framework called SYNERGY-VAE has uncovered three hidden population subgroups with distinct health signatures and depression ...

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating pseudo-labels on new datasets before any ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...