Researchers at Central South University have developed a cluster-based domain adaptation method that aligns only semantically ...

As one of the key technologies in image processing, multi-threshold image segmentation has been widely applied in various image analysis tasks. However, how to improve computational efficiency while ...

AI clustering is the machine learning (ML) process of organizing data into subgroups with similar attributes or elements. Clustering algorithms tend to work well in environments where the answer does ...

Researchers identified 7 distinct phenotypic clusters among pediatric patients with Behçet disease, with manifestations varying based on geography and system involvement. Findings from an ...

A transformer-autoencoder method that groups federated clients without labels improved sentiment-classification accuracy across controlled label-skew conditions on Sentiment140 and IMDB.