Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures

14 July 2021

Papers citing "Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures"

2 / 2 papers shown

Title
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 Yaron Shaposhnik 190 307 0 08 Dec 2020
TriMap: Large-scale Dimensionality Reduction Using Triplets Ehsan Amid Manfred K. Warmuth 24 118 0 01 Oct 2019