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This allows for the coverage of high class variability by the principal components calculated individually, making SIMCA one of the most commonly used techniques for the classification of spectral data [28, 29].
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This approach works better when there is relatively high inter-class variability (e.g., cars vs vans).
To cope with the high intra-class variability, we adopted a nonlinear classifier: the Support Vector Machines (SVM).
The collection presents high in-class variability, and the information concerning localized aspects of the images' content is of great importance.
There are no significant associations between haplotype class and DEFA1A3 copy number in the AFR samples, suggesting high within-class variability in copy number and explaining the observation that the SNP rs4300027 does not tag copy number in this population (p = 0.114).
These properties are advantageous in HEp-2 cells classification as cell images are unaligned and have high within-class variabilities.
To improve the discrimination of these regions (see Figure 4d) we used linear discriminant analysis (LDA) [25] which guaranteed higher separation between classes of point-clouds by calculating the between class variability through the sample covariance of the class means.
Is it high CLASS?
"We were high class".
So high class!
Song: High Class Baby.
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