Sentence examples for the data was identified from inspiring English sources

The best model to describe the data was identified based on the Akaike information criterion (AIC).

Growth models with varying numbers of latent classes were fitted to the data, increasing the number of classes until the model which best fitted the data was identified.

Models with varying numbers of latent classes were fitted to the data, increasing the number of classes until the model which best fitted the data was identified.

In the following steps, the least relevant SNP was iteratively removed from the model, one at a time, until the SNP subset that best fitted the data was identified.

In brief, the fastICA algorithm was applied after the optimal number of sources explaining the variance in the data was identified using PCA with MDL criterion (Li et al., 2007).

The optimal number of clusters supported by the data was identified based on consensus on three criteria computed, the R2 (proportion of the total variance accounted by the clusters), R2 ratio [R/ 1-R ], and the pseudo-F statistic: Pseudo F = ⌊ R/ 1-R ]1)⌋/⌊(1 - R )/(N - G )⌋ where G = number of clusters and, N = number of cDNAs.

The interquartile range of the data is identified by the box with the median shown as a line within the box.

The first component is a feature selection and extraction stage where critical informational features about the data are identified for classification purposes.

Since raw pixel intensity is the main way by which phases in both the phantom and the data are identified, a source of input from the intensity is required to form a complete analysis.

Mapping landcover change delineates landscapes under recent disturbance pressure, and these measures are more effective as performance indicators for broad-scale evaluation of natural heritage policies and habitat restoration initiatives when error in the data is identified and accounted for.

RSNs and structured artifacts in the data were identified using MELODIC (Multivariate Exploratory Linear Optimized Decomposition into Independent Components [55], FSL's implementation of ICA (Independent Component Analysis [56]).