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The described approach includes an exhaustive search procedure to find the group cluster parameters that resulted in an optimal clustering of the group data, by finding a clustering solution with a minimal normalized cut cost [20].
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As the classical Bonferroni correction is known to be too conservative for use in fMRI studies, we applied a cluster-extent threshold in addition to the voxel significance threshold (p ≤ 0.005 (1-tailed)), taking into account that the chance of finding a whole cluster by chance drops when the cluster size increases [ 59].
The clustering method first yields an estimate for the number of users, which is determined by finding the cluster centers through the subtractive clustering algorithm outlined in [19, 20].
In our previous method [12], the major cluster from which the centroid to be used as model was determined by finding the cluster with the biggest number of samples in it.
You diagnose shingles by finding that characteristic cluster of lesions confined to a single dermatome — the medical term for that patch of skin that is neurologically supplied by a single nerve root.
In all cases, the interactions of the compounds predicted by finding the nearest cluster using similarity searching techniques are far superior to those by assigning the nearest cluster at random.
Our results raise important questions about interpreting regulatory module predictions obtained by finding clusters of conserved binding sites.
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