3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering
Mingjie Zhao, Yunfan Zhang, Yiqun Zhang +1
Deep Clustering (DC) has emerged as a powerful tool for tabular data analysis in real-world domains like finance and healthcare. However, most existing methods rely on data-level s…
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…