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arXiv 提交日期: 2026-04-14
📄 Abstract - Some Theoretical Limitations of t-SNE

t-SNE has gained popularity as a dimension reduction technique, especially for visualizing data. It is well-known that all dimension reduction techniques may lose important features of the data. We provide a mathematical framework for understanding this loss for t-SNE by establishing a number of results in different scenarios showing how important features of data are lost by using t-SNE.

顶级标签: theory machine learning model evaluation
详细标签: dimensionality reduction t-sne theoretical limitations data visualization feature loss 或 搜索:

t-SNE方法的若干理论局限性 / Some Theoretical Limitations of t-SNE


1️⃣ 一句话总结

这篇论文通过建立数学框架,从理论上证明了t-SNE作为一种流行的降维可视化方法,在不同场景下会不可避免地丢失数据的重要特征。

源自 arXiv: 2604.13295