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Many clustering solutions, including identifier neighbor-based clustering, topology-based clustering, mobility-based clustering, energy-based clustering, and weight-based clustering, have been proposed [14-21] [14-21]
In any case, it can represent many clustering solutions corresponding to different groupings of nodes.
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We examined each of the clustering solutions for homogeneity within clusters, diversity between clusters, and the real-world interpretability of each of the clusters.
However, these clustering solutions significantly differ from vehicular clustering.
Summary measures of cluster validity, and numerical differences between clustering solutions on such measures, must be interpreted in the light of the application of the clusters [22].
All runs at K = 2 produced identical clustering solutions with similar values of cluster membership q for all individuals.
For a given number of clusters, Consensus computes a certain number of clustering solutions (resampling step), each from a sample of the original data (subsampling).
Results have shown that major advantages with respect to the corresponding centralized clustering setting are obtained in terms of runtime behavior, although clustering solutions can still be accurate with a moderately low number of nodes in the network.
Heat maps corresponding to development and stress clustering solutions are provided in section 1C of additional file 1. Genes clustered together with respect to both Development and Stress datasets Genes are ordered from least to most stress-responsive (according to d).
Heat maps corresponding to clustering solutions are provided in section 2C of additional file 1. Genes clustered together with respect to both Development and Stress datasets Genes are ordered from least to most stress-responsive (according to d).
There are many clustering approaches proposed in the literature with different quality/complexity tradeoffs.
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