ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.10569
  4. Cited By
The Curse Revisited: When are Distances Informative for the Ground Truth
  in Noisy High-Dimensional Data?
v1v2v3v4v5 (latest)

The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?

22 September 2021
R. Vandaele
Bo Kang
T. D. Bie
Yvan Saeys
ArXiv (abs)PDFHTML

Papers citing "The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?"

2 / 2 papers shown
Title
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect
D. Peng
Zhipeng Gui
Huayi Wu
91
6
0
31 Dec 2023
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
199
9,473
0
09 Feb 2018
1