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Other approaches to defining a cluster have been proposed including novel approaches that address flexibility in cluster shapes [ 13, 14].
Since no clear cut-offs exist for defining a cluster, the decision which isolates should be included or excluded from clusters is largely a matter of arbitrariness.
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The distance between samples (e.g. Euclidean or Mahalanobis distance) is evaluated recursively, aiming at defining a clustering tree.
The genes are assigned to three contexts, each defining a clustering partition via a DPM.
Gene inactivation analysis defined a cluster of 13 open reading frames sufficient for sulfazecin production, precursor synthesis, self-resistance, and regulation.
The root node defines a cluster containing the entire token set.
We concisely define a cluster by its mathematical description provided in Section 2.2.
When investigating the clustering result, the user is usually interested in the most specific features that define a cluster.
We defined a cluster as a group of all atoms lying within a cutoff distance from at least one other atom belonging to the same cluster.
Using these cliques as hypernodes, we can define a cluster graph[24] by connecting each pair of the cliques with minimum one common node (i.e., non-empty intersection).
This game uses a hierarchical cluster model to define a set of 20 questions that will be used to motivate the user and to define a cluster of concepts.
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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