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In contrast to conventional CS, the proposed K-cluster-valued CS incorporates the prior knowledge that only K clusters values of intensities are available for all the pixels of an image.
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They include a description of the optimal partition: number of clusters, value of the index used and the assignment of nodes to each cluster.
Certainly, the clustering value always depends on the data collection process, but as the study for this article has used the same methodological approach for all five municipal networks, it is possible to compare the municipal clustering values.
The frequency of the RMSD clustering threshold (RMSD cluster ) values used during the conformer clustering procedure for the 47,123 MMDB ligand conformer models.
Not least, cooperation beyond institutional borders works well and individual clustering values are low: persons are not always connected to the same clusters.
Employing clustered values, [69] defines (mathsf {FDs}) with conjunctive path patterns; the work is extended to (mathsf {CFDs}) for RDF [42].
In this paper, we extend the existing CS by including the prior knowledge of K-cluster values available for the pixels or wavelet coefficients of an image.
However, for the RMSD cluster values between 0.6 Å and 1.6 Å, the corresponding differences range between 0.2 Å and 0.3 Å.
In general, it is very reassuring to see that most of these conformer models at the 90% level are within the expected range for most RMSD cluster values.
The RMSD cluster values range from 0.4 Å to 2.2 Å (in discrete 0.2 Å increments), with an average and standard deviation of 0.75 Å ± 0.33 Å.
Several lines of analysis were used to decide on appropriate clustering values.
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