用改进的Wasserstein距离聚焦曲线关键片段，提升考古2D曲线分类效果
On the application of the Wasserstein metric to 2D curves classification
- 通过加权离散概率测度聚焦曲线特定片段
- 在考古数据上实现更精准的2D曲线聚类
- 适合需要关注局部特征的形状分析任务
本文研究了多种 Wasserstein 距离的变体，这些变体能够将 2D 曲线分类的关注点集中到指定的曲线片段上。方法基于一系列反映曲线各片段重要性的离散概率测度。通过一系列实验，在考古学领域的 2D 曲线聚类分析中验证了该方法的有效性。
原文摘要 · Abstract (English)
In this work we analyse a number of variants of the Wasserstein distance which allow to focus the classification on the prescribed parts (fragments) of classified 2D curves. These variants are based on the use of a number of discrete probability measures which reflect the importance of given fragments of curves. The performance of this approach is tested through a series of experiments related to the clustering analysis of 2D curves performed on data coming from the field of archaeology.
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