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Initially, concept lattice was built from linkage relations between Blogs, then clusters were divided from the lattice based on equivalence relation, finally communities were clustered in each cluster based on the similarity of concepts [63, 64].
Based on the number of pedestals per cluster, the clusters were divided into groups; extra large cluster (>20 pedestals/cluster for EPEC), large clusters (>10 pedestals/cluster), medium clusters (6 10 pedestals/cluster) and small clusters (1 5 pedestals/cluster).
Every 4 weeks shoot clusters were divided into single shoots which were transferred to fresh medium.
According to population proportions, 26 clusters were divided among the four districts.
The SO clusters were divided into clusters coming from the same tree as UP clusters (SO1) or from trees exclusively harboring SO clusters (SO2).
The 12 clusters were divided into three general types that have their peak abundance on chromatin early (E), intermediate (I), or late (L) in interphase.
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Amalgam's reconfigurable clusters are divided into four segments of reconfigurable logic, limiting the length of individual wires in the cluster.
This identical SNR assumption can be practical when the clusters are divided according to geographical position, i.e., adjacent CUs in a small area are gathered into a cluster.
Finally, the number of clusters was divided by the volume of the neuropil examined, resulting in synapse density.
Clustering of samples by similarity of gene expression patterns is shown as a dendrogram on the right side of the heat map, which divides the samples into two major clusters (Fig. 4, upper and lower clusters are divided by a white line).
These clusters are divided into genes and finally "isoforms" that represent the alternative transcripts of a gene in RNAseq studies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com