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. 1803.01768
  4. Cited By
An Analysis of the t-SNE Algorithm for Data Visualization

An Analysis of the t-SNE Algorithm for Data Visualization

5 March 2018
Sanjeev Arora
Wei Hu
Pravesh Kothari
ArXivPDFHTML

Papers citing "An Analysis of the t-SNE Algorithm for Data Visualization"

20 / 20 papers shown
Title
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
214
0
0
04 May 2025
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
241
0
0
12 Mar 2025
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Zhexuan Liu
Rong Ma
Yiqiao Zhong
62
0
0
22 Oct 2024
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
Yufan Shen
Chuwei Luo
Zhaoqing Zhu
Yang Chen
Qi Zheng
Zhi Yu
Jiajun Bu
Cong Yao
50
2
0
17 Jul 2024
Authentication and integrity of smartphone videos through multimedia
  container structure analysis
Authentication and integrity of smartphone videos through multimedia container structure analysis
Carlos Quinto Huamán
A. L. Sandoval Orozco
Luis Javier Garcia Villalba
13
16
0
05 Feb 2024
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML
  Research
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research
Hariharan Subramonyam
Jessica Hullman
VLM
HAI
29
8
0
10 Aug 2023
Preserving local densities in low-dimensional embeddings
Preserving local densities in low-dimensional embeddings
Jonas Fischer
R. Burkholz
Jilles Vreeken
30
3
0
31 Jan 2023
A Spectral Method for Assessing and Combining Multiple Data
  Visualizations
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Rong Ma
Eric D. Sun
James Zou
25
11
0
25 Oct 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
26
4
0
18 Apr 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
44
9
0
28 Feb 2022
A Probabilistic Graph Coupling View of Dimension Reduction
A Probabilistic Graph Coupling View of Dimension Reduction
Hugues van Assel
T. Espinasse
J. Chiquet
F. Picard
22
14
0
31 Jan 2022
Revisiting Dimensionality Reduction Techniques for Visual Cluster
  Analysis: An Empirical Study
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Jiazhi Xia
Yuchen Zhang
Jie Song
Yang Chen
Yunhai Wang
Shixia Liu
31
46
0
06 Oct 2021
T-SNE Is Not Optimized to Reveal Clusters in Data
T-SNE Is Not Optimized to Reveal Clusters in Data
Zhirong Yang
Yuwei Chen
J. Corander
DRL
31
4
0
06 Oct 2021
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in
  Structural Engineering
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
P. Hajibabaee
Farhad Pourkamali Anaraki
M. A. Hariri-Ardebili
27
33
0
18 Sep 2021
Theoretical Foundations of t-SNE for Visualizing High-Dimensional
  Clustered Data
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai
Rong Ma
24
109
0
16 May 2021
Attraction-Repulsion Spectrum in Neighbor Embeddings
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm
Philipp Berens
D. Kobak
34
53
0
17 Jul 2020
Metric Learning for Adversarial Robustness
Metric Learning for Adversarial Robustness
Chengzhi Mao
Ziyuan Zhong
Junfeng Yang
Carl Vondrick
Baishakhi Ray
OOD
27
184
0
03 Sep 2019
Improving the Effectiveness and Efficiency of Stochastic Neighbour
  Embedding with Isolation Kernel
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
Ye Zhu
Kai Ming Ting
26
9
0
24 Jun 2019
bigMap: Big Data Mapping with Parallelized t-SNE
bigMap: Big Data Mapping with Parallelized t-SNE
Joan Garriga
F. Bartumeus
22
4
0
24 Dec 2018
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data
David M. Chan
Roshan Rao
Forrest Huang
John F. Canny
19
94
0
31 Jul 2018
1