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Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures

Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures

Y. Bartal
Ora Nova Fandina
Kasper Green Larsen
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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
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
183
307
0
08 Dec 2020
TriMap: Large-scale Dimensionality Reduction Using Triplets
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid
Manfred K. Warmuth
24
118
0
01 Oct 2019

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