English(EN) Stop Misusing t-SNE and UMAP for Visual Analytics

论文警告 t-SNE 和 UMAP 在可视化分析中被广泛滥用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-21 04:00

一篇新发表在 arXiv 上的论文强调了 t-SNE 和 UMAP 等降维技术在可视化分析中被广泛滥用。研究表明，从业者经常误解这些工具，尽管它们在准确反映原始距离方面存在局限性，但仍被用来推断簇间关系。这种滥用似乎源于用户对降维原理缺乏全面理解，而以往纠正这一问题的学术努力已被证明无效。 AI

影响强调了 AI 研究和开发中数据可视化技术的潜在陷阱。

排序理由讨论方法论问题的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 讨论方法论问题的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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arXiv cs.LG TIER_1 English(EN) · Hyeon Jeon, Jeongin Park, Sungbok Shin, Jinwook Seo · 2026-07-21 04:00

停止滥用 t-SNE 和 UMAP 进行可视化分析

arXiv:2506.08725v3 Announce Type: replace-cross Abstract: Misuses of t-SNE and UMAP in visual analytics have become increasingly common. For example, although t-SNE and UMAP projections often do not faithfully reflect the original distances between clusters, practitioners frequen…