Examples of 'principal component analysis' in a sentence
Meaning of "principal component analysis"
a statistical technique used to identify patterns and relationships in data. It is commonly used in data analysis and machine learning to reduce the dimensionality of a dataset and identify the most important variables or features
How to use "principal component analysis" in a sentence
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principal component analysis
Variables incorporated in the principal component analysis.
Principal component analysis was performed to identify dietary patterns.
Reliability and principal component analysis.
Principal component analysis was used to analyze the data.
Theory behind principal component analysis.
A principal component analysis using all these indicators cf.
Environmental variables were analyzed by principal component analysis pca.
Functional principal component analysis of financial time series.
Factor analysis were run by principal component analysis.
Principal component analysis was used to detect dietary patterns.
Each score was constructed using a principal component analysis.
The principal component analysis is used to reduce the dimension.
The data were then analyzed by principal component analysis.
Principal component analysis is very popular to perform dimension reduction.
Dietary patterns were identified through principal component analysis.
See also
Principal component analysis of residuals.
Abnormal event detection using principal component analysis.
Principal component analysis of a block.
The ideal features extracted by principal component analysis.
A principal component analysis was performed on four fatty acid traits.
The corresponding tool in statistics is called principal component analysis.
Principal component analysis is commonly confused with factor analysis.
These samples may then be compared by principal component analysis.
Principal component analysis was two dimensional and computer generated.
The weather data were analyzed using a principal component analysis.
Principal component analysis was used to obtain the food consumption patterns.
Autistic trait subscales were created using principal component analysis.
Principal component analysis.
They concern a statistical process called principal component analysis.
Principal component analysis was used to define major dietary patterns.
Questionnaire included questions related to principal component analysis to confirm reliability.
The principal component analysis was used to process the results.
The mathematical technique used in principal component analysis is called eigenanalysis.
Principal component analysis can be used to find oddities within a dataset.
All four questionnaire dimensions were evidenced in the principal component analysis.
The principal component analysis was chosen for the comparison of these transformations.
Hierarchical cluster analysis was made and principal component analysis pca.
We utilized principal component analysis to explore the factorial structure of the questionnaire.
Each variance partition was then analyzed using principal component analysis.
The purpose of principal component analysis is to reduce a number of observed variables into a.
The number of components may be determined based on principal component analysis.
Principal component analysis indicated that the phenotypes of each species differ.
This unidimensionality has been confirmed by principal component analysis performed in several studies.
Principal component analysis identifies subsets of correlated variables that group together.
The subspace may be computed by principal component analysis of a training set of electrograms.
Eleven environmental variables measured were summarized through a principal component analysis pca.
The principal component analysis was used to regionalize the precipitation and flow series.
These data were analyzed and correlated using principal component analysis pca.
Principal component analysis of the term structure of interest rates and implied volatilities.
Multivariate analysis methods were used with emphasis on principal component analysis pca.
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