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The method of generating reference clusters is described in details as follows.
In this subsection, clustering of training HR patches into K clusters is described.
Medication use across clusters is described in Table 6.
How the spatial scan statistic within SaTScan actually identifies cancer clusters is described at http://www.satscan.org in detail [ 34].
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Several controls for different characteristics of the clusters are described.
At the sequence level, more diversity is found and 12 clusters were described [37].
The microfluidic preparation of Pt clusters was described in detail previously [22].
In the present study, metallic clusters are described using a spherical jellium model (JM).
The algorithms based on the trigger tower energies which have been designed to identify such clusters, are described here.
In section "Vertical scaling platforms", various vertical platforms graphics processing units and high performance clusters are described.
The clusters are described in terms of statistical properties of patients included into each cluster, together with the complete list of identification numbers of corresponding patients.
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