One-parameter analysis performed in DB2C2F and DB10C2F.

This analysis is based on the performance (measured through the ARI index) obtained when varying a single parameter of the clustering algorithm, while maintaining the others in their default configuration. 〈S〉, max S, ΔS are associated with the average, standard deviation and maximum difference between the performance obtained when varying a single parameter and the performance obtained for the default parameter values. We also measure 〈max Acc〉, the average of best ARI values obtained when varying each parameter, where the average is calculated over all considered datasets.

本分析基于聚类算法仅调整单个参数、其余参数保持默认配置时所得到的聚类性能，该性能通过调整兰德指数（Adjusted Rand Index, ARI）进行量化评估。〈S〉、max S与ΔS分别对应：仅调整单个参数时所得聚类性能与默认参数配置下所得性能之间差值的平均值、标准差与最大差值。此外我们还统计了〈max Acc〉，即针对每个可调参数进行调整时所获得的最佳ARI值的平均值，该平均值基于全部纳入研究的数据集计算得到。