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CartoDB · Apr 3, 2024 · e4c86d7 · e4c86d7
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diff --git a/clouds/bigquery/modules/doc/clustering/ST_CLUSTERKMEANS.md b/clouds/bigquery/modules/doc/clustering/ST_CLUSTERKMEANS.md
@@ -11,6 +11,10 @@ Takes a set of points as input and partitions them into clusters using the k-mea
 * `geog`: `ARRAY<GEOGRAPHY>` points to be clustered.
 * `numberOfClusters`: `INT64`|`NULL` numberOfClusters that will be generated. If `NULL` the default value `Math.sqrt(<NUMBER OF POINTS>/2)` is used.
 
+````hint:info
+The resulting geometries are unique. So duplicated points will be removed from the input array
+````
+
 **Return type**
 
 `ARRAY<STRUCT<cluster INT64, geom GEOGRAPHY>>`

diff --git a/clouds/redshift/modules/doc/clustering/ST_CLUSTERKMEANS.md b/clouds/redshift/modules/doc/clustering/ST_CLUSTERKMEANS.md
@@ -11,6 +11,10 @@ Takes a set of points as input and partitions them into clusters using the k-mea
 * `geog`: `GEOMETRY` points to be clustered.
 * `numberOfClusters` (optional): `INT` number of clusters that will be generated. It defaults to the square root of half the number of points (`sqrt(<NUMBER OF POINTS>/2)`).
 
+````hint:info
+The resulting geometries are unique. So duplicated points will be removed from the input multipoint
+````
+
 **Return type**
 
 `SUPER`: containing objects with `cluster` as the cluster id and `geom` as the geometry in GeoJSON format.

diff --git a/clouds/snowflake/modules/doc/clustering/ST_CLUSTERKMEANS.md b/clouds/snowflake/modules/doc/clustering/ST_CLUSTERKMEANS.md
@@ -11,6 +11,10 @@ Takes a set of points as input and partitions them into clusters using the k-mea
 * `geojsons`: `ARRAY` points to be clustered.
 * `numberOfClusters` (optional): `INT` numberOfClusters that will be generated. By default `numberOfClusters` is `Math.sqrt(<NUMBER OF POINTS>/2)`.
 
+````hint:info
+The resulting geometries are unique. So duplicated points will be removed from the input array
+````
+
 **Return type**
 
 `ARRAY`: containing objects with `cluster`, as the cluster id, and `geom`, as the geometry geojson.