Double |
The DoublePCA type exposes the following members.
Name | Description | |
---|---|---|
CumulativeVarianceProportions | Gets the cumulative variance proportions. | |
Data | Gets the data matrix. | |
Eigenvalues | Gets the eigenvalues of the covariance/correlation matrix, though the calculation is actually performed using the singular values of the data matrix. | |
IsCentered | Returns true if the data supplied at construction time was shifted to be zero-centered. | |
IsScaled | Returns true if the data supplied at construction time was scaled to have unit variance. | |
Item | Gets the specified principal component. | |
Loadings | Gets the loading matrix. Each column is a principal component. | |
Means | Gets the column means of the data matrix. | |
Norms | Gets the column norms (1-norm). | |
NumberOfObservations | Gets the number of observations in the data matrix. | |
NumberOfVariables | Gets the number of variables in the data matrix. | |
Scores | Gets the score matrix. | |
StandardDeviations | Gets the standard deviations of the principal components. | |
VarianceProportions | Gets the proportion of the total variance accounted for by each principal component. |