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Parameters for the three different outlier elimination strategies.

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NIAID Data Ecosystem2026-03-08 收录
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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.

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2013-12-30
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