Sentence examples for assignments of data from inspiring English sources
Moreover, to perform a comprehensive modelling to predict RF and NPV properly, an analysis is conducted on the different assignments of data for training, validation and testing phases.
Then, at each iteration an assignment of data points to the nearest class centre takes place.
Having a better measure of the actual land occupied by a zone will improve the disaggregation and assignment of data such as trip-ends to cells.
Further on, the assignment of data symbols to specific sub-carriers is described by the sub-carrier mapping matrix with the entry.
As an important notation, K-means clustering algorithm may be stopped at the middle iterations due to convergence issues posed by improper initial random assignment of data points to the clusters.
In addition, the results of NMF-based methods directly provide information regarding the assignment of data to clusters/communities. Given the vast amounts of nonnegative data available for extracting critical information, the NMF has found a wealth of applications in such domains as image, text, and chemical data processing.
Even when parts of the array are stored in the SPM and the rest of it in the off-chip memory, the sizes of the storage windows can still be computed, since the assignment of data to the memory layers is done at the level of lattices (as explained in Section 3).
During this stage the original context was revisited several times to ensure appropriate assignment of data.
To improve consistency of assignment of data the consensus decisions of three authors (MTC, THP and PHA) reviewing the hospital records together were used.
Assignment of data, was then performed with trained clustering method implemented in BAPS 4.14 (Corander et al. 2006b) followed by admixture analysis (Corander and Marttinen 2006).
The 1D-SOM supporthethe search for relevant metabolites in two aspects: First, according to the assignment of data vectors to certain array positions, a "pre-clustering" of the data facilitates the analysis of large and noisy data sets.
