DOC add information about 0 dissimilarity values in `smacof`
@@ -40,6 +40,8 @@ def _smacof_single(
metric : bool, default=True
Compute metric or nonmetric SMACOF algorithm.
+ When ``False`` (i.e. non-metric MDS), dissimilarities with 0 are considered as
+ missing values.
n_components : int, default=2
Number of dimensions in which to immerse the dissimilarities. If an
@@ -208,6 +210,8 @@ def smacof(
metric : bool, default=True
Compute metric or nonmetric SMACOF algorithm.
+ When ``False`` (i.e. non-metric MDS), dissimilarities with 0 are considered as
+ missing values.
n_components : int, default=2
Number of dimensions in which to immerse the dissimilarities. If an
@@ -362,6 +366,8 @@ class MDS(BaseEstimator):
metric : bool, default=True
If ``True``, perform metric MDS; otherwise, perform nonmetric MDS.
+ When ``False`` (i.e. non-metric MDS), dissimilarities with 0 are considered as
+ missing values.
n_init : int, default=4
Number of times the SMACOF algorithm will be run with different
