v1v2 (latest)

Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations

15 February 2019

Papers citing "Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations"

21 / 21 papers shown

Title
Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels Yi Gu 31 0 0 30 May 2025
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 182 0 0 18 Feb 2025
Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions Jingcheng Lu Jeff Calder 60 0 0 15 Nov 2024
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering Sarwan Ali Prakash Chourasia Haris Mansoor Bipin Koirala Murray Patterson 411 0 0 21 Oct 2024
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold Seonghyeon Jeong Hau-tieng Wu 54 3 0 31 Jan 2024
Manifold learning: what, how, and why M. Meilă Hanyu Zhang 88 59 0 07 Nov 2023
Inverse distance weighting attention Calvin McCarter 61 1 0 28 Oct 2023
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning Julio J. Valdés A. Tchagang 43 3 0 25 Sep 2023
Geometric Autoencoders -- What You See is What You Decode Philipp Nazari Sebastian Damrich Fred Hamprecht 92 13 0 30 Jun 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues van Assel Titouan Vayer Rémi Flamary Nicolas Courty 87 9 0 23 May 2023
Preserving local densities in low-dimensional embeddings Jonas Fischer R. Burkholz Jilles Vreeken 49 3 0 31 Jan 2023
May the force be with you Yulan Zhang Anna C. Gilbert Stefan Steinerberger 30 0 0 13 Aug 2022
From $t$ -SNE to UMAP with contrastive learning Sebastian Damrich Jan Niklas Böhm Fred Hamprecht D. Kobak SSL 98 23 0 03 Jun 2022
A Probabilistic Graph Coupling View of Dimension Reduction Hugues van Assel T. Espinasse J. Chiquet F. Picard 78 14 0 31 Jan 2022
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM Adam Šmelko Sona Molnárová Miroslav Kratochvíl A. Koladiya J. Musil Martin Kruliš J. Vondrášek 76 0 0 03 Jan 2022
Topological Indoor Mapping through WiFi Signals Bastian Schaefermeier Gerd Stumme Tom Hanika 45 0 0 17 Jun 2021
t-SNE, Forceful Colorings and Mean Field Limits Yulan Zhang Stefan Steinerberger 68 12 0 25 Feb 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 273 317 0 08 Dec 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 104 54 0 17 Jul 2020
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data Yuefeng Liang A. Chaudhuri Haoyu Wang 46 0 0 17 Jul 2020
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE Isaac Robinson E. Pierce-Hoffman 29 5 0 13 Feb 2020