Sample size calculations are based on the principles of cluster randomised trials.
Even if phenylacetate degradation is unusual when compared to clusters associated with amino acid biosynthesis or other core pathways, it may provide a much deeper understanding of the principles of cluster and operon formation than static, widely distributed gene clusters ever could.
The methodological principle of clustering sequences at some threshold before analysis is also not well grounded theoretically.
A second order α-isolated cluster structure then results from application of the same principle of cluster formation to the thus reduced set of objects with its clustering pattern.
In this paper, the principle of this method is to find pairs of operational taxonomic units that minimize the total branch length at each stage of clustering.
The related definitions and basic principles of fuzzy clustering are as follows: Definition 1: Let set of source information for statistical analysis be X = (x 1, x 2, ⋯, x n ), where x i has m attributes, (x i1, x i2, ⋯, x im ) represents a partition of x i. X is n × m matrix, which is called initial value matrix.
Although this paper did not intend to represent an exhaustive review, key techniques and application principles of clustering-based approaches to SAGE data mining were discussed.
Take advantage of clustered enemies.
In principle, any kind of clustering algorithm could be introduced in the algorithmic flow.
The k-medoids algorithm was used with the same exclusion principles of the preliminary clustering and the same Euclidean metric, and was applied to define the composition of the clusters.
