arXiv stat.ML
· Papers
Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data
arXiv:2607.25031v1 Announce Type: cross Abstract: Clustering is a fundamental problem in statistics, with applications across many scientific disciplines. In many modern applications involving clustering, the primary dataset (the target data) is accompanied by related datasets (the source data). Transferring informatio