PCA
Description
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 values of linearly uncorrelated variables called principal components. See PCA
Usage
| Field | Description |
|---|---|
| Launch | Field indicating whether you want to execute this analysis in the workflow (checked) or not (unchecked). |
to finish …
Output Examples
