Prediction function of Kernel local Fisher discriminant analysis of principal components (KLFDAPC)

predict.klfdapc(object, newdata, dimen, ...)

Arguments

object

The KLFDA object

newdata

PCs object

dimen

The dimen should align with the KLFDAPC

...

Other parameters pass to classifier

Details

Prediction of Kernel local Fisher discriminant analysis of principal components (KLFDAPC)

Value

References

Qin. X, Wu. M, Lock, T. R, Kallenbach, R. 2020. DA: Ecological and evolutionary inference using machine learning approaches both visually and statistically. R package version 0.2.0.

Author

Note

See also