2 papers
cs.LG2025
Dimension Reduction with Locally Adjusted Graphs
Yingfan Wang, Yiyang Sun, Haiyang Huang +1
Dimension reduction (DR) algorithms have proven to be extremely useful for gaining insight into large-scale high-dimensional datasets, particularly finding clusters in transcriptom…
cs.LG2024
Navigating the Effect of Parametrization for Dimensionality Reduction
Haiyang Huang, Yingfan Wang, Cynthia Rudin
Parametric dimensionality reduction methods have gained prominence for their ability to generalize to unseen datasets, an advantage that traditional approaches typically lack. Desp…