1.1 - 8.10 - Closeness Output - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)

Output Table Schema

The table has a row for each source vertex. The reachable target vertices exclude the source vertex itself; that is, the function does not calculate the closeness and k-degree scores for loops.

Column Data Type Description
inv_sum_dist DOUBLE PRECISION Inverse of sum of shortest distances to all reachable target vertices. NULL if there are no reachable target vertices.
inv_avg_dist DOUBLE PRECISION Inverse of average shortest distances to all reachable target vertices. NULL if there are no reachable target vertices.
sum_inv_dist DOUBLE PRECISION Sum of inverse distances to all reachable target vertices. NULL if there are no reachable target vertices.
kdegree DOUBLE PRECISION Total number of reachable target vertices. 0 if there are no reachable target vertices.
accumulate_column Same as in Vertices table [Column appears once for each specified accumulate_column.] Column copied from Vertices table.

These columns enable you to identify different closeness scores.