activity
20202026
most citedSegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation

4 citations · 9 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.LG2020

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization

Yingfan Wang, Haiyang Huang, Cynthia Rudin +1

Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMAP have demonstrated impressive visualization performance on many real world datasets. One tension that has always…