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The output consists of a set of finished clusters, which can be further analyzed and hyper-clustered in order to establish the relationship between natural classes.
The structures of many clusters, which can be precisely determined by single-crystal X-ray diffraction, provide some clues to the way in which ligands are bound to the surfaces of bulk metal particles.
Such method creates a hierarchy of clusters which can be represented by means of a tree structure.
The 2D scatter plot in the PC-space displays the pixel clusters, which can be visually identified.
Formation of clusters which can act as precursors of elongated precipitates during paint-baking was found to be enhanced with increasing Cu content.
Based on the energy model, we get a reasonable number of clusters which can balance the energy consumption of inter-cluster communication and intra-cluster communication.
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There are several methods for adaptive clustering, which can select the optimal number of clusters [15 17].
There is only one mobile agent node in each cluster which can move freely.
Determining the number of clusters is an important issue in clustering, which can be either designated artificially or determined automatically.
In a recent theoretical work, Szwacki et al. [14] proposed a novel planar aromatic cluster which can be obtained by hydrogenation of quasi-planar B12 cluster.
We employ DBSCAN algorithm with rough entropy method, to calculate the purity of cluster, which can handle uncertainty and improve the performance of categorical data clustering.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com