Sentence examples for ascending classification from inspiring English sources

Principal component analysis (PCA), correspondence factor analysis (CFA), and hierarchical ascending classification (HAC) were used as potential tools for evaluating the experiments on single columns and on column series.

A hierarchical ascending classification (HAC) was performed using the Ward method with an Euclidean distance matrix based on the correlations between genes.

This computation is based on the UPGM-VM method, an ascending hierarchical classification analogous to the classical UPGMA, with two main differences: 1) there is no arithmetical mean, the sequences are aligned two-per-two and the corresponding distances are computed; 2) the metric varies with the ascending classification.

However, it is considered a disadvantage of this classification that the negative functional consequences generated by an intracochlear trauma do not evolve according to the ascending numbering classification.

Using correspondence and ascending hierarchical classification analyses, homogenous groups were identified.

We then used ascending hierarchical classification (AHC) to establish a taxonomy of the pathways, by grouping the participants [ 52] based on the common characteristics of their pathway steps (similar positioning on the factorial axes).

If there is a significant ascending trend in classification accuracy array this time, it means that adding a hidden node can effectively improve classification performance.

The RIN score, based on a quality numbering system from 1 to 10 (in ascending quality), facilitates the classification of RNA samples to be used in the context of the gene expression workflow.

A classification of the ascending neurons cannot be made because the cell bodies of these cells are beyond the examined area.

Aortic dissection was classified as type B, according to the Stanford classification, if the dissection did not involve the ascending aorta.

We stress that we are not looking to impose an either/or classification upon every projection in the nervous system as regards ascending versus descending, forward versus backward and prediction error versus prediction.