Subsequent to this finding, several studies extended the use of dimension reduction methods on the Grassmann manifold [13, 14].
The added use of dimension creates a striking contrast between dark and light layers, collaged realism and painterly abstract energy, emotional euphoria and reduction.
Three dimensions are used because it is well known how to display 3-D data, and the use of three dimensions preserves more structure than if the data were reduced to two dimensions.
In order to make use of these dimensions it is proposed to consider as the project topic the first dimension of concepts pertaining to the health system structures, functions, processes and results.
Shorter wavelength makes possible use of smaller dimensions of receive and transmit antennas.
Moreover, the use of many dimensions adds unnecessary noise in the generated model and affects the quality of learning (generalization).
In Yamagishi and Hayashi [13], the authors addressed the audiovisual quality prediction of interactive multimedia services such as videotelephony through the use of perceptual dimensions.
Rowe [ 114] encourages the use of stimulus dimensions, such as color, that increase the salience of the discriminative stimuli.
Tokens 1 4 where generated in order to examine whether variation in F1 and F2/F3 values would lead to a different pattern in the use of these dimensions.
Both factor analysis and principal component analysis are used for the purpose of dimension reduction.
