Sentence examples for dimension of the data set from inspiring English sources

We define the dimension of the data set to be equal to the number of principal components.

PCA reduces the dimension of the data set, from the initial 512 spectral bands to just 3-5 uncomponents components.

The algorithm is detailed in Algorithm 1 (with denoting the th dimension of the data set).

The retained factors which led to a reduction of the initial dimension of the data set and explained about 84.173% of the total variance.

Thus, a search that examines all H hashtags is much preferable, from a cost perspective, to one that must examine all d dimensions of the data set.

PCA was used to reduce the number of dimensions of the data set.

Firstly, the mean is computed along the dimensions of the vectors of the data set.

Principal Component Analysis (PCA) abridges the task of identifying sources of relative variability in a high dimensional data set by reducing the dimensions, and therefore the complexity, of the data set.

Mean is measured along the dimensions; hence the total number of mean results is equal to the number of dimensions (m) in the data set.

We show the applicability of graphical models on ICF data for different tasks: Visualization of the dependence structure of the data set, dimension reduction and comparison of subpopulations.

The problem is, of course, that adding these two additional dimensions will greatly increase the size of the data set.