Find Similar Features Using Embeddings (GeoAI Tools)
Summary
Performs large-scale similarity search on location and image data by comparing their embedding representations. It identifies features that are most similar to selected input/query features, enabling efficient pattern discovery and insight extraction across extensive spatial datasets.
Usage
- The tool requires two inputs, an embeddings feature class that defines the search space and a query feature layer containing one or more polygons that represent the objects of interest.
Parameters
| Label | Explanation | Data type |
|---|---|---|
|
Embedding Features |
The feature class containing embeddings to find features most similar to the query features. |
Feature Class |
|
Query Features |
The feature layer containing one or more features representing the objects of interest |
Feature Layer |
|
Output Embeddings Feature Class |
The feature class that stores the results of similarity search. |
Feature Class |
|
Threshold |
The minimum similarity score an embedding feature must have when compared with the query features to be included in the output. |
Double |
Environments
Output Coordinate System, Geographic Transformations, Extent
Licensing information
- Basic: No
- Standard: No
- Advanced: Yes