Calculate the R_NX score from Lee et. al. (2013) which shows the neighborhood preservation for the Kth nearest neighbors, corrected for random point distributions and scaled to range [0, 1].
Usage
# S4 method for dimRedResult
R_NX(object, ndim = getNDim(object))
Arguments
- object
of class dimRedResult
- ndim
the number of dimensions to take from the embedded data.
See also
Other Quality scores for dimensionality reduction:
AUC_lnK_R_NX,dimRedResult-method
,
LCMC,dimRedResult-method
,
Q_NX,dimRedResult-method
,
Q_global,dimRedResult-method
,
Q_local,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