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This method reduced the dimensions of extracted features like partial least square to efficiently recognize positive and negative human samples based on the latent matrix.
Dimension of extracted audio features is reduced using principal component analysis (PCA) method.
Principal component analysis method [21, 22] is used to compute principal component which reduces the dimension of extracted audio features.
The Kaiser rule (eigenvalue > 1.0) was applied for determining the number of dimensions to extract.
The Kaiser rule (eigenvalue > 1.0) was applied for determining the number of dimensions to extract, along with the criteria that the factors should be interpretable from a clinical perspective.
Then, the principal component analysis (PCA) was introduced to reduce the dimensions of the extracted multi-fractal fault feature vectors and to enhance the accuracy of diagnosis.
The dimensions of the extracted FSs/vectors are also given in parenthesis for all sets in Table 2.
Participants were asked to rank 35 statements representing eight dimensions of PCC extracted from the literature: patient preferences, physical comfort, coordination of care, emotional support, access to care, continuity and transition, information and education and family and friends.
However, the dimension of the extracted motion feature is still high.
As the dimension of feature extracted by pool5 is very large, we naturally think of compressing the feature to low-dimensional vectors to accelerate LCD algorithm.
The Assertiveness dimension of the extracted scale can be interpreted as a verbal persuasion component of self-efficacy, because the items loading on the subscale deal with one's confidence in persuading a partner to use condoms.
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