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English(EN) How smoothing the affinity matrix affects neighborhood preservation in t-SNE

新研究探讨亲和力矩阵平滑对 t-SNE 邻域保持的影响

一篇新研究论文探讨了在流行的降维技术 t-SNE 中改变亲和力矩阵如何影响数据邻域的保持。该研究引入了一个参数 gamma,用于平滑或锐化矩阵内的概率分布,这等同于调整高斯带宽,进而调整困惑度。研究结果表明,锐化分布可以增强非常近邻的保持,而平滑则可以改善更广泛局部邻域的表示,在某些范围内优于其他多尺度方法。 AI

排序理由 该条目是发表在 arXiv 上的研究论文,详细介绍了一种新的 t-SNE 方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新研究探讨亲和力矩阵平滑对 t-SNE 邻域保持的影响

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该条目是发表在 arXiv 上的研究论文,详细介绍了一种新的 t-SNE 方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shirin Mohebi, Guillaume Bied, Jefrey Lijffijt ·

    平滑亲和力矩阵如何影响t-SNE中的邻域保持性

    arXiv:2608.17190v1 Announce Type: new Abstract: Dimensionality reduction methods are instrumental to visualize high-dimensional data, and t-SNE stands as one of the most widely used methods due to its emphasis on local neighborhood preservation. A central component of t-SNE is th…