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. 2203.00528
  4. Cited By
On genetic programming representations and fitness functions for
  interpretable dimensionality reduction

On genetic programming representations and fitness functions for interpretable dimensionality reduction

1 March 2022
Thomas Uriot
M. Virgolin
Tanja Alderliesten
Peter A. N. Bosman
ArXivPDFHTML

Papers citing "On genetic programming representations and fitness functions for interpretable dimensionality reduction"

1 / 1 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
174
305
0
08 Dec 2020
1