This function returns the quality of attributing the record to the best cluster whose ID is given by the function DM_getClusterID. It measures how well the applied record fits into the best cluster.
The returned value is between 0.0 and 1.0. A value close to 0.0 means that the record does not fit at all in the best cluster. A value close to 1.0 means that the record fits very well in the best cluster. The quality measurement depends on the algorithm used to score the record, so that a direct comparison between the quality of algorithm results is not possible. However, both center-based and distribution-based algorithms use a linear, possibly similar, quality measurement function.
Parameters
- results value
- The result of applying a Clustering model, returned by the function DM_applyClusModel as data type DM_ClusResult
Return value
- If results value is NULL, the return value is NULL.
- If results value does not contain a quality for the best cluster, the return value is NULL.
- Otherwise, the return value is the quality of attributing the record to the best cluster, as a value of type DOUBLE between 0.0 and 1.0.