| 21. | This 50-dimensional space is flattened into a plane using principal components analysis ( PCA ).
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| 22. | The simplest approach, however, is to perform a standard principal component analysis ( PCA ).
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| 23. | It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.
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| 24. | The higher dimensionality of the descriptor is reduced to 64 through principal components analysis ( PCA ).
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| 25. | The indexes have been created by the Australian Bureau of Statistics, the national principal component analysis.
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| 26. | Factor analysis is related to principal component analysis ( PCA ), but the two are not identical.
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| 27. | Examples are principal component analysis and discriminant analysis, and the quartimax and oblimax methods in factor analysis.
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| 28. | Factor analysis is similar to principal component analysis, in that factor analysis also involves linear combinations of variables.
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| 29. | More generally, principal component analysis can be used as a method of factor analysis in structural equation modeling.
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| 30. | Such vectors are sometimes called the Principal Component Analysis, the basis vectors are not required to be orthogonal.
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