地形水槽用于快速和准确的最佳运输在多重组
Guillaume Huguet1, Alexander Tong1, María Ramos Zapatero2
1Université de Montréal; Mila - Quebec AI Institute.
ArXiv
|October 9, 2023
概括
地测Sinkhorn使用图形热核有效地计算了多重数据上的最佳运输距离. 这种方法有助于分析复杂的科学数据集,如单细胞数据,揭示治疗效应.
科学领域:
- 计算数学是指计算数学.
- 数据科学是数据科学.
- 计算拓学的计算拓.
背景情况:
- 优化运输 (OT) 距离计算在数据科学中至关重要.
- 最先进的Sinkhorn方法需要高的计算复杂性 (O(N^3)).
- 现有的方法经常使用欧几里德距离,不适合多重结构的科学数据.
结论:
- 地测Sinkhorn提供了一种高效且可扩展的解决方案,用于多重数据上的OT.
- 该方法为科学数据集定义和计算重心距离提供了一种新方法.
- 通过OT路径分析,可以识别治疗对细胞数据的影响.
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