Search Java Classes and Packages
Search Java Frameworks and Libraries
#Com.numericalmethod.suanshu.stats.pca Classes and Interfaces - 3 results found.
Name | Description | Type | Package | Framework |
PCA | Principal Component Analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of | Interface | com.numericalmethod.suanshu.stats.pca | SuanShu |
|
PCAbyEigen | This class performs Principal Component Analysis (PCA) on a data matrix, using eigen decomposition on the correlation or covariance matrix. | Class | com.numericalmethod.suanshu.stats.pca | SuanShu |
|
PCAbySVD | This class performs Principal Component Analysis (PCA) on a data matrix, using the preferred Singular Value Decomposition (SVD) method. | Class | com.numericalmethod.suanshu.stats.pca | SuanShu |