2 papers
cs.LG2026
Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
Zihua Yang, Xin Liao, Yiqun Zhang +1
Qualitative data are widespread in domains such as healthcare, marketing, and bioinformatics, where clustering offers a fundamental tool for pattern discovery. A core difficulty of…
cs.LG2026★ 3 cited
Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers
Yue Zhang, Chuanlong Qiu, Xinfa Liao +1
Federated Clustering (FC) is an emerging and promising solution in exploring data distribution patterns from distributed and privacy-protected data in an unsupervised manner. Exist…