Parameters for the three different outlier elimination strategies.

The table shows the outlier elimination parameters for the three outlier elimination strategies (low, moderate, high). The outlier elimination is performed during the preclustering (Figure 2, step 4) as well as during the final clustering (Figure 2, step 6). Clusters that contain no more tracts than the critical cluster size () after () of the clustering has been finished are considered outliers and are removed from the subsequent clustering.

本表格展示了三种异常值剔除（outlier elimination）策略（低、中、高）对应的异常值剔除参数。异常值剔除操作将在预聚类（preclustering）阶段（图2，步骤4）与最终聚类（final clustering）阶段（图2，步骤6）中均执行。当聚类完成指定比例（）后，所包含的神经纤维束（tracts）数量不超过临界簇规模（critical cluster size）（）的聚类簇将被视为异常值，并从后续聚类流程中移除。