VectorDistance Example 1: Default Thresholds - Teradata Vantage

SQL Call

SELECT * FROM VectorDistance (
  ON target_mobile_data AS target PARTITION BY UserID
  ON ref_mobile_data AS ref DIMENSION
  USING
  TargetIDColumns ('UserID')
  TargetFeatureColumn ('Feature')
  TargetValueColumn ('value1')
  DistanceMeasure ('Cosine', 'Euclidean', 'Manhattan')
) AS dt ORDER BY Target_UserID;

Output

The following table (which is not output by the VectorDistance function) shows the distances of the target vectors from the reference vector (UserID 5) and their similarity ranks. The shorter the distance, the higher the similarity rank. Similarity rank is independent of measure—if relative distances are shorter in one measure, they are shorter in all measures. UserID 3 is most similar to UserID 5.