| AUC_lnK_R_NX,dimRedResult-method {dimRed} | R Documentation |
Method AUC_lnK_R_NX
Description
Calculate the Area under the R_NX(ln K), used in Lee et. al. (2015). Note
that despite the name, this does not weight the mean by the logarithm, but by
1/K. If explicit weighting by the logarithm is desired use weight =
"log" or weight = "log10"
Usage
## S4 method for signature 'dimRedResult'
AUC_lnK_R_NX(object, weight = "inv")
Arguments
object |
of class dimRedResult |
weight |
the weight function used, one of |
Details
The naming confusion originated from equation 17 in Lee et al (2015) and the name of this method may change in the future to avoid confusion.
References
Lee, J.A., Peluffo-Ordonez, D.H., Verleysen, M., 2015. Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing 169, 246-261. https://doi.org/10.1016/j.neucom.2014.12.095
See Also
Other Quality scores for dimensionality reduction:
LCMC,dimRedResult-method,
Q_NX,dimRedResult-method,
Q_global,dimRedResult-method,
Q_local,dimRedResult-method,
R_NX,dimRedResult-method,
cophenetic_correlation,dimRedResult-method,
distance_correlation,dimRedResult-method,
mean_R_NX,dimRedResult-method,
plot_R_NX(),
quality,dimRedResult-method,
reconstruction_error,dimRedResult-method,
reconstruction_rmse,dimRedResult-method,
total_correlation,dimRedResult-method