Examples of 'principal components analysis' in a sentence
Meaning of "principal components analysis"
Principal Components Analysis: A statistical method used to simplify data sets by reducing them to their key components. This technique is commonly employed in data analysis, machine learning, and other quantitative fields
How to use "principal components analysis" in a sentence
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principal components analysis
Dietary patterns were assessed by principal components analysis.
A principal components analysis is performed to sum up the information.
The observerfuzzy variables are chosen by a principal components analysis.
Principal components analysis did not establish groups clearly.
Introduction to principal components analysis.
Principal components analysis was performed to reduce the number of variables.
Synchronous fluorescence spectra were studied by deconvolution or by principal components analysis.
Functional principal components analysis.
The risk scores may be calculated using a principal components analysis.
Principal components analysis was then applied to the correlation matrix.
Classic examples include principal components analysis and cluster analysis.
The most widely used method of factor extraction is principal components analysis.
The principal components analysis is very simple and frequently used in several areas.
Samples aggregated into plots when PLFAs were subjected to a principal components analysis.
This property is the basis for principal components analysis and canonical correlation.
See also
We developed an index of household socioeconomic status using categorical principal components analysis.
The principal components analysis PCs was performed for the plant and soil variables.
It has applications to the statistics of principal components analysis and the singular value decomposition.
This can be achieved by different means of feature selection and successive principal components analysis.
A principal components analysis was conducted based on WHO data.
Stepwise discriminant analysis led to conclusions similar to those derived from principal components analysis.
Principal components analysis PCA was the method of choice for several reasons.
Multivariate allometric coefficients were calculated for each genus from the eigenvectors from a principal components analysis.
We performed principal components analysis with varimax rotation with Kaiser normalization.
The market scenarios are specified from historical interest rate data using principal components analysis.
Principal components analysis in the software assistat-statistical attendance.
Messias, r . m transformations in compositional data for application of principal components analysis.
Principal components analysis was used to develop a single-number leading indicator.
This orthogonal decomposition is called principal components analysis ( PCA ) in statistics.
Principal components analysis based control of a multi-dof underactuated prosthetic hand.
FIG . 7 is a graph showing the principal components analysis plot of microarray gene expressions.
Principal components analysis showed the existence of seasonality, separating draught and rainy periods.
Eighteen assemblage groups were identified using principal components analysis ( PCA ) and mapped.
Principal components analysis ( pca ) and mahalanobis distance were employed to characterize the spectral findings.
This example shows how to use Principal Components Analysis ( PCA ) to fit a linear regression.
Principal components analysis ( PCA ) attempts to identify a minimum number of components needed to make a diagnosis.
Finally, the dataset was subjected to Principal Components Analysis.
Results of the principal components analysis revealed three dimensions emotional support, rejection, and attempted control.
Play an example of " drill-down " from a principal components analysis to an image.
Furthermore, principal components analysis showed marked differences in FA composition among taxa.
Capsella, Mantel test, phenotypic boundaries, biotic parameters, principal components analysis.
Then, was performed a principal components analysis PCA with varimax rotation.
Keywords, heterophylly, leaf development, plasticity, Ranunculus, principal components analysis.
Principal components analysis ( PCA ) for SSR data support their UPGMA clustering.
The first three components of the principal components analysis explained 82 % of the overall variation.
Principal components analysis should be carried out for appropriate sites and indices paragraph 2.12.
Initially, an unsupervised method called principal components analysis ( PCA ) was applied to all experimental groups.
Principal components analysis (Wikipedia).
These include exploratory factor analysis, principal components analysis ( PCA ), and confirmatory factor analysis.
Figure 20 - Principal components analysis ( PCA ) of metabolite profiles of SAL1 mutants and their respective wild-types.
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