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We conclude that PCTs are the most appropriate clusters for randomisation.
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After the clustering phase, each sensor node has to join the most appropriate cluster for itself.
According to attractor-based dynamics, each network device selects the most appropriate cluster equivalent to OFCs.
To select the most appropriate cluster to be associated with a blob, the following cases must be considered: 1.
First, this model allocates sensor nodes into an optimal number of clusters in which each sensor node belongs to the most appropriate cluster.
However, to reiterate, we explicitly take no position on the issue of the most appropriate clustering technique, since this should be part of the policy development process and reflect the application of criteria other than statistical quality.
According to the attractor selection model, some devices of cluster A within the oval are assumed to have a high probability of handover and therefore are moved to cluster B. This dynamics is expected to formulate the most appropriate cluster distribution from the viewpoint of the optimal signaling cost by handover, which translates to energy cost.
However, the statistical significance was not calculated for determining the most appropriate clustering algorithms.
Due to this fact, following clustering analysis of gene expression datasets, all genes are assigned to the most appropriate cluster based on a generic linkage rule.
The silhouette method is based on the production of a silhouette profile for each cluster found, which defines how good is the classification of each seed in comparison with its assignment to a second most appropriate cluster.
K-4 was the most appropriate clustering for this population, with ΔK value 1100.
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