Description
This
function obtains the clustering score from query results data that
is produced when you apply a clustering model. The score is an expression
of how closely the data matches the predicted cluster.
- Demographic clustering: a score value
close to 1.0 indicates a good match.
- Neural clustering: a score value close
to 0.0 indicates a good match.
Note:
The score value may indicate a good match even when
the confidence returned by PredictClusConf is low. This happens if the data matches another cluster
that is very close to the first one.
