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The results show that clustering can be used to create clusters of compounds with the same interaction.
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Nonetheless, in the absence of central infrastructure, clustering techniques can be used to create cluster leaders among several vehicles.
Using hierarchical cluster analysis, the data in the point maps was then used to create Cluster Maps which grouped the points reflecting similar concepts.
Spectral clustering was used to create protein clusters from the three anaerobic sulfur-reducing heterotrophs, and the clusters shared by all three or by pairs of the three were derived and [see Additional file 1].
The automatic gene cluster assignment method was used to create gene clusters.
Hierarchical clustering and K-means clustering [ 13, 49], two popular methods to infer similar regulation or biological function, were used to create gene clusters based on similar expression patterns.
This analysis was used to create virtual clusters of photovoltaic systems with different separation distances that were then used as inputs to a 32 kWh storage system on site.
R/Bioconductor [ 59] was used to create the clusters.
Data from a spore germination time-course were used to create expression clusters [ 10] and raw data are available as experiment FG7 at the database PLEXdb [ 43].
This issue disappeared when the number of individuals used to create the clusters increased to 50, although some allele frequencies inverted between the observed and expected values (i.e. an estimate close to 0 becomes close to 1, and vice versa); this is likely to have arisen in cases where a different allele of a locus is fixed (or almost fixed) in the different paralogues.
Working with existing data from ESTs in GenBank as a starting point, BLAST searches and assembly were used to create a cluster of 24 ESTs encoding actin (∼94% nucleotide identity).
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