|
•
|
When the
dependent variable
is
nominal
and you select
Class Centroids
in the previous option (
For Nominal Dependent Variables, compute distances to:
), this is the method for computing class centroids in the training set.
|
|
•
|
When the dependent variable is
nominal
and you select
Each Observation
in the previous option (
For Nominal Dependent Variables, compute distances to:
), this is the method for summarizing the individual distances within a class.
|
|
•
|
When the dependent variable is
continuous
, this is the method for computing the predicted value for a particular
observation
from all individual distances, using observed values of the dependent variable from the training set and inverse distances as weights.
|
|
Computes the centroid distance between the
mean
of each group.
|
|
|
Computes the centroid distance between the
median
of each group.
|
|
