Closeness Output - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
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dita:id
B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢

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.