PrincipalComponents
MultivariateStatistics`
MultivariateStatistics`
PrincipalComponents
As of Version 8, PrincipalComponents is part of the built-in Wolfram Language kernel.
PrincipalComponents[matrix]
transforms elements of matrix into principal components.
更多信息和选项
- To use PrincipalComponents, you first need to load the Multivariate Statistics Package using Needs["MultivariateStatistics`"].
- PrincipalComponents gives the principal component transform of matrix.
- The principal components of matrix are linear transformations of the original columns into uncorrelated columns arranged in order of decreasing variance.
- The dimensions of PrincipalComponents[matrix] are the same as the dimensions of matrix.
- The following options can be given:
-
Method Covariance scaling method for decomposition WorkingPrecision MachinePrecision the precision used in internal computations - Possible values of Method are Covariance and Correlation.
Wolfram Research (2007)，PrincipalComponents，Wolfram 语言函数，https://reference.wolfram.com/language/MultivariateStatistics/ref/PrincipalComponents.html.
文本
Wolfram Research (2007)，PrincipalComponents，Wolfram 语言函数，https://reference.wolfram.com/language/MultivariateStatistics/ref/PrincipalComponents.html.
CMS
Wolfram 语言. 2007. "PrincipalComponents." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/MultivariateStatistics/ref/PrincipalComponents.html.
APA
Wolfram 语言. (2007). PrincipalComponents. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/MultivariateStatistics/ref/PrincipalComponents.html 年