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Some potentially relevant clusters are shown in Additional file 5: Figure S1.
Normalisation and validity aggregation strategies are proposed to improve the prediction about the number of relevant clusters.
The challenge to researchers in the multi-media community is to 1) develop a robust way of understanding user intent and 2) generate highly relevant clusters for the given intent and query.
When examining the spatial structure of 1363 R&D units, two relevant clusters (life sciences and ICT) can be identified by a quantitative GIS analysis.
The previously mentioned knowledge bank approaches are implemented to form clinically relevant clusters, whose size depends on the variables that are used.
Figure 2 top) and Figure 2(down) illustrate the most relevant clusters found by mining the original trajectories and the anonymized trajectories, respectively.
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We have previously proposed the "cluster-plus-glue-atom" model for metallic glasses and the relevant cluster formula [cluster](glue atom)x, x ∼ 1 or 3.
Finally, informed by this exploration, we use the algorithm k-means to identify nine clusters, and we seed this algorithm with the nine most relevant cluster centers identified in the 15-cluster solution of the hierarchical algorithm.
The boundaries obtained using D m 1 and D m 2 as the distances from the relevant cluster centre lead to overlap of some of the cluster boundaries (shown in Figure 5a).
A relevant cluster effect at the center level was identified with variation around the center intercepts of 0.267 and 0.117 and remaining variances of 0.432 and 0.46 for PPD and mBoP, respectively.
No relevant clustering could be obtained for the FCR or ROT with either approach (Figure 2).
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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