The CPCA consists in a series of yes/no comparisons between ordered eigenvectors, which allow testing a full series of hypotheses about the relationship between matrices in a hierarchical way, but idoes not have an associated parameter measuring the degree of similarity, relying only on the results of the significance tests.
We found a strong divergence between these matrices in the uranium treatment (θ = 43°, and CI > 0), and a weak divergence in the salt treatment (θ = 5°, and CI > 0).
In addition, we set up a relation between the gain matrices in the protocol and the convergence time and consensus accuracy of the agents, and then design the gain matrices with respect to a pre-specified convergence time and a required consensus accuracy.
Similar to multivariate techniques like canonical correlation analysis, PLS operates on the entire data structure at once, extracting the patterns of maximal covariance between two data matrices, in the present case group membership (age) and the entropy measures.
where C b and C t denote the between-class and total scatter matrices in the feature space, respectively.
We use a cell-centred hybrid-grid method, where fractures are modelled by lower-dimensional interfaces between matrix cells in the physical mesh but expanded to equi-dimensional cells in the computational domain.
The possible reasons behind such different levels of influence were also discussed by focusing on the initial fabric of specimens achieved before shearing and the interaction between silt and sand matrices in the simulants.
The comparison between SiO2 and SiN x host matrices in the optical properties of the multilayers is detailed.
However, this measure, the Hamming distance, provides a biased quantification of the similarity between any two matrices in case the number of zeros and ones is significantly different.
Comparison between matrices for the predicted motifs in human muscle specific set (a) and those for the binding sites previously determined identified three of the five sites.
