Machine learning
t-SNE
t-SNE（t分布随机邻域嵌入）是由Laurens van der Maaten和Geoffrey Hinton于2008年提出的一种非线性降维方法，它将高维数据映射到二维或三维空间进行可视化。它保留了概率性的局部相似性，因此原始空间中的邻近点会保持靠近，从而揭示了聚类结构和局部邻域。
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来源
- van der Maaten, L. & Hinton, G. (2008). Visualizing Data using t-SNE. Journal of Machine Learning Research, 9(86), 2579–2605. link ↗
如何引用本页
ScholarGate. (2026, June 1). t-Distributed Stochastic Neighbor Embedding. ScholarGate. https://scholargate.app/zh/machine-learning/t-sne
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