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

2 code implementations • 8 Dec 2020 • Yingfan Wang, Haiyang Huang, Cynthia Rudin, Yaron Shaposhnik

In this work, our main goal is to understand what aspects of DR methods are important for preserving both local and global structure: it is difficult to design a better method without a true understanding of the choices we make in our algorithms and their empirical impact on the lower-dimensional embeddings they produce.

Data Visualization Dimensionality Reduction