The phrase "a configuration of data" is correct and usable in written English.
It can be used when discussing the arrangement or organization of data in a specific format or structure, often in technical or computing contexts.
Example: "The software requires a specific configuration of data to function properly and deliver accurate results."
Alternatives: "a data arrangement" or "a data structure".
The FLIC is distinguished from the AIC and BIC in that its penalty term is determined not only by the sample size but also by the configuration of data points: a configuration suggesting greater heterogeneity allows a model with more components to be selected.
Unlike the traditional Kriging variance which is a function of mere measurements density and spatial configuration of data points, the conditional copula account for the influence from data values.
Data and program independence was broken but the ad hoc configuration of data management components or services seemed to be easier to configure since it was more efficient to personalize functions according to application needs.
Therefore, data acquisition for W7-X is designed to facilitate the implementation and configuration of data processing modules.
This fully-automated configuration of data sampling, geometry/grid generation, CFD solving and surrogate modelling generated several surrogate models.
The datapath and operation control signals specify the configuration of data flow and computing units, while the I/O delays are used for synchronization scheduling among multiple computing units.
Input data is a configuration of nutrients, result of computation is a network of plasmodium's cytoplasmic tubes spanning sources of nutrients.
A typical configuration of a data center with raised floor and perforated tiles is illustrated in Fig. 1 [33].
The markets received a familiar configuration of economic data last week: a tame report on wholesale inflation that was coupled with a retail sales report showing that American consumers had returned to the profligate spending seen earlier this year.
In our study, hot spots are defined as high-high values that are statistically different from configurations of data expected by chance.
