PCACompute
OpenLvVision_OpenCv.lvlib:PCACompute.vi
Performs PCA of the supplied dataset.
wrap PCA::operator()
For detailed information, please refer to the OpenCV documentation

| error in error in can accept error information wired from VIs previously called. Use this information to decide if any functionality should be bypassed in the event of errors from other VIs. Right-click the error in control on the front panel and select Explain Error or Explain Warning from the shortcut menu for more information about the error. |
| status status is TRUE (X) if an error occurred or FALSE (checkmark) to indicate a warning or that no error occurred. Right-click the error in control on the front panel and select Explain Error or Explain Warning from the shortcut menu for more information about the error. |
| code |
| source source describes the origin of the error or warning. Right-click the error in control on the front panel and select Explain Error or Explain Warning from the shortcut menu for more information about the error. |
| Data The training data matrix where each row represents a sample (e.g., an image or measurement set) and each column represents a feature/dimension. |
| Numeric |
| maxComponents maximum number of components that PCA should retain; by default, all the components are retained. |
| error out error in can accept error information wired from VIs previously called. Use this information to decide if any functionality should be bypassed in the event of errors from other VIs. Right-click the error in control on the front panel and select Explain Error or Explain Warning from the shortcut menu for more information about the error. |
| status status is TRUE (X) if an error occurred or FALSE (checkmark) to indicate a warning or that no error occurred. Right-click the error in control on the front panel and select Explain Error or Explain Warning from the shortcut menu for more information about the error. |
| code |
| source source describes the origin of the error or warning. Right-click the error in control on the front panel and select Explain Error or Explain Warning from the shortcut menu for more information about the error. |
| Mean the mean is computed from the data. |
| Numeric |
| EigenVectors The principal components (basis vectors) calculated from the data. The rows are sorted by importance (highest variance first). |
| Numeric |
| EigenValues A list of values representing the variance |
| Numeric |












