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An alternative here may be the use of Multiple Classification Analysis (MCA), also known as factorial ANOVA.
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Thus, strategies for using TRIBE-MCL range from simply using program defaults [22] or arbitrary user-defined values [23] to the generation of multiple classifications using different parameter values [24] and the use of parameter values found to be globally optimal with respect to some empirical quality measure [25].
Motivated by the biomedical engineering used in early-stage breast cancer detection, we investigated the use of MUltiple SIgnal Classification (MUSIC) algorithm for location searching of small anomalies using S-parameters.
Here, we demonstrate that the use of multiple parameters preserves or improves classification accuracy, while additionally providing information on the evolution of class discrimination.
Thus the use of multiple images per year could improve classification accuracy.
Freight trips have been extrapolated using a Multiple Classification Analysis (MCA) model.
Multivariate analysis of the variation in intensity of COPE-M in RTI was performed using multiple classification analysis (MCA) for these cases [ 19].
Variation in intensity of COPE-M in RTI was assessed using multiple classification analysis (MCA).
In addition, we also examined the intensity of catastrophic payment with another approach using multiple classification analysis.
The use of multiple immunogens.
Our system uses detection models with multiple classification stages of increasing complexity as shown in Figure 2.
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