---
schema_version: "1"
id: bb08960c7b4a8e6afcd20555bfe826d139ccf3f1afe3acd591f3d30e078387e5
title: Use Clustering on Structured Data
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_ai_predictive_model_cluster_use.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_ai_predictive_model_cluster_use.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 7dc64e627950931429d767933b007906c9fea72743ec48aba181430eea58d5ef
description: Use clustering models in Data 360 to automatically group data model object (DMO) records by shared characteristics. Run a predict job or batch data transform to assign new records to saved clusters, and use the results across Salesforce.
products:
  - Data 360
release: "264"
---
# Use Clustering on Structured Data

Use clustering models in Data 360 to automatically group data model object (DMO) records by shared characteristics. Run a predict job or batch data transform to assign new records to saved clusters, and use the results across Salesforce.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>All Editions</strong> supported by Data 360. See <a href="https://help.salesforce.com/s/articleView?id=data.c360_a_dc_editions.htm&amp;language=en_US" target="_blank">Data 360 edition availability</a>.</td></tr></tbody></table>

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
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            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d159904e61">USER PERMISSIONS
              NEEDED</th>
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        </thead>
        <tbody>
          <tr class="">
            <td data-label="USER PERMISSIONS NEEDED" class="slds-cell-wrap" style="vertical-align:top;" headers="d159904e61 ">Allow users to manage models in AI Models</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d159904e61 ">Enables you to create, update, and delete models in AI Models.</td>

          </tr>
        </tbody>
      </table> <table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
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            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d159904e92">PERMISSION SETS </th>
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        <tbody>
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            <td data-label="PERMISSION SETS" class="slds-cell-wrap" style="vertical-align:top;" headers="d159904e92 ">Data Cloud Architect</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d159904e92 ">Admin-level access to all AI Models features, including the ability to create,
              update, delete, and activate models.</td>

          </tr>
          <tr class="">
            <td data-label="PERMISSION SETS" class="slds-cell-wrap" style="vertical-align:top;" headers="d159904e92 ">Data Cloud User</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d159904e92 ">Restricted access to use a model, including getting predictions and
              improvements derived from a model.</td>

          </tr>
        </tbody>
      </table>

Before you begin:

- Build and activate a clustering model in the AI Models tab in Data 360.
- Make sure that you use a DMO with structured data.

Tips:

- Use scores to rank or filter records by confidence. If a record has a low cluster score, it can be a poor fit for its assigned cluster.
- Cluster label names reflect what you set during model setup. To change labels, edit the clustering model and rerun the transform.

## Map Records to Clusters with a Predict Job

Use a predict job to run inference and map new records to clusters in a DMO.

1. From Data 360, go to the AI Models tab, and click the activated clustering model.
2. On the Integrations tab, select **Add Job**. Predict Job Builder opens.
3. Set the model inputs using a DMO, and map its fields to the model’s variables.
4. Define the output DMO. Optionally, specify how many top contributors to include.
5. Schedule a streaming or batch job.
6. Save the job.
7. Activate and run the predict job.

## Run Clustering with a Data Transform

Use a batch data transform to apply cluster labels to new data in a DMO.

![Important](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-data-data_cloud-264-0-0-production-enus/f3569962-3c9b-4f83-9d0c-b6a574e785da/images/icon_important.png)

Important

Deleting the clustering model removes all downstream transform jobs. Before you delete the model, delete all associated transforms.

1. From Data 360, go to the AI Models tab, and click the activated clustering model.
2. On the Integrations tab, select **Add Transform**.
3. In the transform setup, select the structured DMO that contains the records you want to assign to clusters.
4. Map the DMO fields to the corresponding fields used during model training.
5. Configure the output DMO settings.
    
    - DMO name: The name of the output DMO.
    - Cluster ID: The name for the cluster ID field (the API name is set automatically and you can't change it).
    - Cluster Label: A descriptive label that summarizes the records in the cluster.
6. Configure up to 3 top contributors to include in the output.
7. Activate and run the predict job.
8. Save and run the transform.