Sentence examples for multidimensional space in from inspiring English sources

Exact(7)

We use the session attributes of volume, diversity, granularity, duration, and content to define a multidimensional space in which each specific session can be positioned.

By means of a multiple correspondence analysis with the reference group, we were able to create a multidimensional space in which all 103 reference cases were placed according to their morphological profiles.

He asserted, for example, that "writing is the destruction of every voice, of every point of view," and that contrary to creating something original, literature "is a multidimensional space in which a variety of writings, none of them original, blend and crash".

There are many ways of mathematically grouping these points in multidimensional space in order to form hierarchical clusters[24 26].

In our simplified analysis, the performance landscape is a multidimensional space in which one or more organizational outcomes (for example, business growth, market share, stock market performance and/or profitability), are causally mapped onto a set of organizational characteristics (Fiss 2007).

Redox biology occurs in a multidimensional space, in which the fundamental basis set, that is, the full spectrum of redox elements and dimensionality of this space, remains incompletely understood.

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We computed the correlations between gene pair-wise Euclidean distances in multidimensional space and in their configuration in a 2D network layout.

Then, on these BLSOMs, each of the 200-amino acid segments that were derived from the HomCOG Sargasso proteins was mapped by finding the lattice point with the minimum Euclidian distance in the multidimensional space, as described in Materials and methods.

This technique can be used to visualize the different experimental groups and their hypoxic responses in multidimensional space, as shown in Figure 2, and Table 1 can be used to trace movements within this space back to specific metabolites.

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.

In this context, the evolutionary algorithms with their parallel power to search through multidimensional space are effective in estimating the parameters of the fuzzy logic system.

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