Method AUC_lnK_R_NX
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"
## S4 method for signature 'dimRedResult' AUC_lnK_R_NX(object, weight = "inv")
object |
of class dimRedResult |
weight |
the weight function used, one of |
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.
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
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
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