Automatic Selection of t-SNE Perplexity

10 August 2017

Papers citing "Automatic Selection of t-SNE Perplexity"

12 / 12 papers shown

Title
Why Can't I See My Clusters? A Precision-Recall Approach to Dimensionality Reduction Validation Diede P. M. van der Hoorn Alessio Arleo Fernando Paulovich 8 0 0 04 Sep 2025
UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction Hyeon Jeon Kwon Ko S. Lee Jake Hyun Taehyun Yang Gyehun Go Jaemin Jo Jinwook Seo 48 1 0 22 Aug 2025
Dimension Reduction with Locally Adjusted Graphs Yingfan Wang Yiyang Sun Haiyang Huang Cynthia Rudin 213 4 0 19 Dec 2024
Navigating the Effect of Parametrization for Dimensionality Reduction Haiyang Huang Yingfan Wang Cynthia Rudin 168 1 0 24 Nov 2024
Nasdaq-100 Companies' Hiring Insights: A Topic-based Classification Approach to the Labor Market Seyed Mohammad Ali Jafari Ehsan Chitsaz 60 0 0 01 Sep 2024
Calibrating dimension reduction hyperparameters in the presence of noise Justin Lin Julia Fukuyama 222 2 0 05 Dec 2023
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction Hyeon Jeon Yun-Hsin Kuo Michaël Aupetit Kwan-Liu Ma Jinwook Seo 208 17 0 01 Aug 2023
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization Yin-Ting Liao Hengrui Luo A. Ma 114 3 0 01 Jun 2023
ENS-t-SNE: Embedding Neighborhoods Simultaneously t-SNE Jacob Miller Vahan Huroyan Raymundo Navarrete Md. Iqbal Hossain Stephen Kobourov 192 4 0 24 May 2022
Towards a comprehensive visualization of structure in data Joan Garriga F. Bartumeus 64 2 0 30 Nov 2021
Multi-view Data Visualisation via Manifold Learning Theodoulos Rodosthenous V. Shahrezaei Marina Evangelou 112 10 0 17 Jan 2021
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 366 360 0 08 Dec 2020