2 papers
cs.LG2025
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices
Andersen Chang, Tiffany M. Tang, Tarek M. Zikry +1
Unsupervised machine learning is widely used to mine large, unlabeled datasets to make data-driven discoveries in critical domains such as climate science, biomedicine, astronomy,…
stat.ME2024
Cluster Quilting: Spectral Clustering for Patchwork Learning
Lili Zheng, Andersen Chang, Genevera I. Allen
Patchwork learning arises as a new and challenging data collection paradigm where both samples and features are observed in fragmented subsets. Due to technological limits, measure…