论文标题

扩散图:使用Semigroup属性进行参数调整

Diffusion Maps : Using the Semigroup Property for Parameter Tuning

论文作者

Shan, Shan, Daubechies, Ingrid

论文摘要

扩散图(DM)构成了一种经典的降低技术,对于位于或接近(相对)的低维歧管上的数据嵌入了更大的维空间。 DM过程包括从模拟的随机步行或数据集中的扩散路径构建频谱参数化。但是,DM很难在实践中调整。特别是,在构造扩散核矩阵时设置扩散时间t的任务至关重要。我们通过使用扩散操作员的半群属性来解决此问题。我们建议选择t的半群标准。实验表明,这种原则性的方法是有效且坚固的。

Diffusion maps (DM) constitute a classic dimension reduction technique, for data lying on or close to a (relatively) low-dimensional manifold embedded in a much larger dimensional space. The DM procedure consists in constructing a spectral parametrization for the manifold from simulated random walks or diffusion paths on the data set. However, DM is hard to tune in practice. In particular, the task to set a diffusion time t when constructing the diffusion kernel matrix is critical. We address this problem by using the semigroup property of the diffusion operator. We propose a semigroup criterion for picking t. Experiments show that this principled approach is effective and robust.

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