Sentence examples for dimensions of dataset from inspiring English sources
The dimensions of dataset two were with an isotropic voxel size of.
We can reduce n dimensions of dataset into k dimensions (where k < n).
With the costs of genotyping dropping continuously, and with the expected use of whole-genome sequence data in practical applications in the short term [ 2], the dimensions of datasets are growing rapidly.
In order to decrease the dimensions of input dataset by summarizing their most important modes of variability and correlations to the reference dataset, a technique named singular value decomposition (SVD) is used.
A solution to this problem, cluster analysis, applies the biologically-motivated knowledge of correlation between adjacent voxels in one or more dimensions of the dataset to correct for the multiple comparisons problem and detect true neurophysiological effects.
The different dimensions of the dataset allow identification of subtle correlations (rather than causality) between borrowers' daily behaviors and their financial behaviors.
The contextual detection algorithm works on multiple dimensions of the dataset, and thus has a higher computational complexity in comparison to the content detector.
The standard deviation is automatically adapting to the image dimensions of each dataset so that a 2σ standard deviation includes 95.5%% of the samples, while a 3σ covers 99.7%%.
Traditional clustering algorithms were designed to generate clusters in the full-dimensional space by measuring the proximity between the data points using all of the dimensions of a dataset [8, 9].
Particularly with respect to the behavior of the RE+ policy when compared to the MinMax, it is important to note that as the amount of both data and dimensions of the dataset increases, the difference in the overlap factor for the trees built with these two policies decreases.
The approach is based on principal component analysis (PCA), a well-known mathematical method for revealing the dimensions of a dataset which have the most variance.
