2 papers
cs.LG2026
Cluster and then Embed: A Modular Approach for Visualization
Elizabeth Coda, Ery Arias-Castro, Gal Mishne
Dimensionality reduction methods such as t-SNE and UMAP are popular methods for visualizing data with a potential (latent) clustered structure. They are known to group data points…
stat.ML2026
Graph Max Shift: A Hill-Climbing Method for Graph Clustering
Ery Arias-Castro, Elizabeth Coda, Wanli Qiao
We present a method for graph clustering that is analogous to gradient ascent methods previously proposed for clustering points in space. The algorithm, which can be viewed as a ma…