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σε, standard deviation of the within-subject residual.
Estimates of the within-participant CV for AUC0-inf were obtained.
The MDIR of the cross-gender conversion is higher than that of the within-gender conversion.
Homogeneity is measured here using the sum of the within-cluster variances.
Our between-subjects analysis confirms the results of the within-subjects design.
On the basis of the within-cluster sum of squares we determined a suitable value of 6 for k.
This process starts by calculating the projection vectors in the null space of the within-class scatter matrix Sw.
The k-means algorithm is an iterative partitioning algorithm, which maximizes the similarity of the within-cluster.
However, MMC does not need the inversion of the within-class scatter matrix and may avoid the SSS problem.
To maximize the homogeneity of clusters, we therefore try to minimize the sum of the within-cluster variances.
The middle frames illustrate the variance coefficient reduction (R ϕ ) of the within-event standard deviation ϕ.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com