Sentence examples for shapes of data from inspiring English sources

This growing interest is mostly justified due to the advantages provided by graph representation, such as revealing topological structure of input data and the ability of identifying arbitrary shapes of data clusters [27].

These objectives included developing students' appreciation of the need for accuracy in measurement and to pay careful attention to scale, competence in representing variation in measurement values and describing the shapes of data sets, confidence in predicting a representative measurement and skills in explaining variation in data sets.

Returning to our example gene expression analysis, consider the shapes of data crossing the junctions between the software tools.

In our simulation study, equally sized samples for two groups were drawn from three different distributions, covering a variety of shapes of data encountered in clinical research.

Several PLS algorithms have been proposed in the literature, for different shapes of data (SIMPLS [ 48], PLS1 and PLS2 [ 47], PLS-SVD [ 49]), as well as for different modelling aims (predictive like PLS2, or modelling like PLS-mode A, see [ 2, 23, 50]).

The Polygon descriptor and Deforming distance method are combined to measure the similarity between data sets based on the shape of data distribution.

The shape of data is used as an organising principle and the attribute of geometrical symmetry of cost variance point clouds used for the quantification of cost uncertainty.

While these are certainly big problems to tackle and will generate valuable insights for web properties to exploit, I'm most intrigued by the mathematicians and physicists who are innovating within their disciplines and applying them to tackle big problems around big data, particularly concerning the speed and shape of data.

The shapes of the data fit perfectly well with our model; the data shows that the "closed" form (C1) is more globular than the "open" form (C1-Δ7) (Authoresponsese image 1).

Based on shape graphs of data blocks, when the edge shape and center changed obviously with the previous mode, the system would update the model and save it to the classifier pool.

These represent the shapes of scientific data and provide a basis for simple and flexible interoperability.