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Interpretable Dimensionality Reduction by Feature Preserving Manifold
  Approximation and Projection

Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection

17 November 2022
Yang Yang
Hongjian Sun
Jialei Gong
Di Yu
    FAtt
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Papers citing "Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection"

4 / 4 papers shown
Title
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
Mohammad Tariqul Islam
Jason W. Fleischer
149
0
0
12 Mar 2025
Tangent Space and Dimension Estimation with the Wasserstein Distance
Tangent Space and Dimension Estimation with the Wasserstein Distance
Uzu Lim
Harald Oberhauser
Vidit Nanda
42
8
0
12 Oct 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
197
260
0
18 Apr 2021
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
159
301
0
08 Dec 2020
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