Vector Example Using TD_KMeansPredict - Teradata VantageCloud Lake

Lake - Analyze Your Data with ClearScape Analytics™

Deployment
VantageCloud
Edition
Lake
Product
Teradata VantageCloud Lake
Release Number
Published
February 2025
ft:locale
en-US
ft:lastEdition
2026-02-20
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tcl1683670667798.ditamap
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pny1626732985837.ditaval
dita:id
tcl1683670667798

InputTable

DROP TABLE input_table_udt;
CREATE MULTISET TABLE input_table_udt(id INTEGER, array_col Vector) PRIMARY
INDEX ( id );
INSERT INTO input_table_udt values(1, '-0.06944,0.080352,0.045963,0.006985,-0.000496');
INSERT INTO input_table_udt values(2, '-0.025461,0.045302,-0.028107,0.031248,0.00077');
INSERT INTO input_table_udt values(3, '-0.028107,0.016781,-0.023147,-0.068779,-0.07936');
INSERT INTO input_table_udt values(4, '-0.030091,0.027611,-0.047616,-0.025461,0.029595');
id array_col
1 -0.06944,0.080352,0.045963,0.006985,-0.000496
2 -0.025461,0.045302,-0.028107,0.031248,0.00077
3 -0.028107,0.016781,-0.023147,-0.068779,-0.07936
4 -0.030091,0.027611,-0.047616,-0.025461,0.029595

Output: kmeans_model_udt (Generated using TD_KMeans)

td_clusterid_kmeans array_col td_size_kmeans td_withinss_kmeans id td_modelinfo_kmeans
0 -0.06944,0.080352,0.045963,0.006985,-0.000496 1 0.00000000000000E 000 NULL NULL
1 -0.0278863333333333,0.029898,-0.0329566666666667,-0.0209973333333333,-0.0163316666666667 3 1.21668890066667E-002 NULL NULL
NULL NULL NULL NULL NULL Converged: true
NULL NULL NULL NULL NULL Number of Iterations: 2
NULL NULL NULL NULL NULL Number of Clusters: 2
NULL NULL NULL NULL NULL Total_WithinSS : 1.21668890066667E-02
NULL NULL NULL NULL NULL Between_SS : 8.65080482533333E-03
NULL NULL NULL NULL NULL Method for InitialCentroids: Random

Query

SELECT id, td_clusterid_kmeans, td_distance_kmeans, cast(array_col as Varchar(100)) as array_col FROM TD_KMeansPredict (
ON input_table_udt as InputTable
ON kmeans_model_udt as ModelTable DIMENSION
USING
OutputDistance('true')
Accumulate('array_col')
)as dt order by 1;

Output

id td_clusterid_kmeans td_distance_kmeans array_col
1 0 0.00000000000000E 000 -0.06944,0.080352,0.045963,0.006985,-0.000496
2 1 5.73474200155896E-002 -0.025461,0.045302,-0.028107,0.031248,0.00077
3 1 8.07712350723394E-002 -0.028107,0.016781,-0.023147,-0.068779,-0.07936
4 1 4.85197898708466E-002 -0.030091,0.027611,-0.047616,-0.025461,0.029595