Calculate the total correlation of the variables with the axes to assess the quality of a dimensionality reduction.
# S4 method for dimRedResult
total_correlation(
object,
naxes = ndims(object),
cor_method = "pearson",
is.rotated = FALSE
)
of class dimRedResult
the number of axes to use for optimization.
the correlation method to use.
if FALSE the object is rotated.
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
,
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