Sentence examples for multidimensional variation to from inspiring English sources

The approach is similar to the way a PCA analysis reduces multidimensional variation to a small number of axes.

The key is the use of a multidimensional variation-of-constants formula.

In particular, reducing shape variation to a scalar distance measure ignores the patterning of variation in the multidimensional space.

PCA is an unsupervised method and a data reduction technique that allows the major sources of variation in a multidimensional dataset to be analyzed without introducing inherent bias.

Principal components analysis (PCA), a mathematical technique that defines new axes in multidimensional space to capture the variation in data, was able to identify three cell populations based on gene expression, corresponding to the trophectoderm, primitive endoderm and epiblast present in the embryo at the 64-cell stage.

We used non-metric multidimensional scaling (NMS) to evaluate variation in aquatic-invertebrate assemblage structure across a disturbance gradient.

By taking this multidimensional approach to rating and grouping two important state ECE policies simultaneously, nuanced variation in policy is revealed that is not captured by measures of the strength of a single policy alone.

The Giants have a multidimensional facet to their running game and the wide receivers, Ike Hilliard and Amani Toomer, have made great strides.

This project offers a multidimensional approach to conveying data and contextualizing some interesting looking meals. .

Given the complexity of interpreting such a multidimensional matrix, PCA was applied to reduce this multidimensional space to a small number of principal components (PCs).

It reduces a multidimensional data set to its most dominant features, removes random variation while maintaining the relevant variations between data points [ 16, 25].