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Among them, it is possible to mention the execution of more complex query types (e.g., similarity queries) and several well-known data mining algorithms (e.g., data clustering) that are directly based on similarity computations.
There has been much speculation and empirical modeling addressing the microscopic nature of bonding arrangements in the MRO regime including rings of bonded atoms [9], distances between layer-like ordering [10], and/or void clustering that are responsible for the FSDP [11].
While short time series datasets such as presented here are becoming more common, there are still few choices for clustering that are tailored towards this type of data.
Additionally, to minimize changes in the clustering that are based on software parameters, we performed multiple orthoMCL runs with varying parameter values and excluded those clusters that were not stable among all conditions (see Methods).
fp) to be coexpression edges inferred by the clustering that are present/absent in the input coexpression network, and false negatives (fn) as edges present in the input network that are not inferred by the clustering, we can define the precision P' = tp/ tp + fp) and the recall R' = tp/ tp + fn) of the clustering result.
When they form the underlying contact structure for epidemic processes (Isham et al., 2011), random geometric graphs provide a nice way of escaping the lack of local correlation and clustering that are implicit properties of the configuration graphs often used to explore epidemic dynamics.
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But in most cases, -means quickly reaches either complete convergence or a clustering that is close to convergence.
Then there are the clusters that are based more on personal connections or affiliations than on geography.
ICGS clustered the MSCs based on 12 gene clusters that are uniquely regulated among the cell types (Fig. 2d).
High values of DI identify sets of clusters that are compact, with a small variance between members of the cluster, and well separated, where the means of different clusters are sufficiently far apart, when compared to the within-cluster variance51,52.
Unfortunately, above a certain limit the dopant atoms begin to clump together, forming clusters that are not electrically active.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com