In this discussion, an analysis that the authors of the above name paper used the probable precision index ρ and made it to be greater than or equal to ρmin upon exit of forming clusters. This leads to the formation of clusters which are nearby to each order. In other words, border of one cluster is near to the border of other cluster. Indeed, any minor change in cluster data will lead to the major change in nearby cluster. This can be avoidable if ρ of cluster is far from ρ of neighboring cluster.

中文翻译：

---

讨论“增强电网动态性能的执行器放置：一种机器学习方法”

在本次讨论中，分析了上述名称论文的作者使用了可能的精度指标 ρ 并使其在形成集群退出时大于或等于 ρmin。这导致形成靠近每个订单的集群。换句话说，一个簇的边界靠近另一个簇的边界。事实上，集群数据的任何微小变化都会导致附近集群的重大变化。如果簇的 ρ 远离相邻簇的 ρ，则可以避免这种情况。