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Divergence times between different clusters were indicated in a scale of millions of years.
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It should be noted however, that all differences seen between the different clusters are modest in magnitude, and would not withstand correction for multiple testing.
Invariability between entirely different clusters is an additional, important feature of the data described above.
It is the process of grouping a data set in a way that the similarity between data within a cluster is maximized while the similarity between data of different clusters is minimized [8].
Thus, in the constructed MKNN graph, a node is likely to be linked to other nodes in the same cluster while the links between the nodes in different clusters are relatively less.
In [18], clustering was performed on the basis of the rate loss caused by cells interfering with each other, where the sum of rate loss between cells belonging to different clusters is minimized, which means the rate loss caused by inter-cluster interference is minimized.
A two-way dependency relationship between attributes in two different clusters was called inter-dependency, denoted by a two-way directed arc between the clusters.
However, reticulated patterns between strains belonging to different clusters are evident, as shown in Fig. 4, which suggests genetic recombination between ancestors of the strains that are currently geographically separated.
The statistic BW r, s takes on a large value if the distance between the subjects from the different clusters is large compared to the distance between the subjects within the clusters themselves indicating that the two clusters are separated in the 19-dimensional space defined by the variables used.
All the original signals have 64 non-zero components, and their locations are initially chosen so that the correlation between any two original signals from different clusters is zero.
In fact, the links between different scam clusters were considered too weak by the clustering algorithm, because of the decision scheme and thresholds set as parameters, and thus these various scam runs were eventually grouped into separate clusters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com