# Unsupervised learning

> Unsupervised learning - Work with unlabeled data to build models in unsupervised mode (anomaly
> detection and clustering).

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.608520+00:00` (UTC).

## Primary page

- [Unsupervised learning](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/unsupervised/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [Specialized workflows](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/index.html): Linked from this page.
- [Anomaly detection](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/unsupervised/anomaly-detection.html): Linked from this page.
- [Clustering](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/unsupervised/clustering.html): Linked from this page.

## Documentation content

# Unsupervised learning

Typically DataRobot works with labeled data, using supervised learning methods for model building. With supervised learning, you specify a target (what you want to predict) and DataRobot builds models using the other features of your dataset to make that prediction.

DataRobot also supports unsupervised learning where no target is specified and the data is unlabeled. Instead of generating predictions as in supervised learning, unsupervised learning surfaces insights about patterns in your data, answering questions like "Are there anomalies in my data?" and "Are there natural clusters?"

These unsupervised learning strategies are described in the following sections:

| Topic | Description |
| --- | --- |
| Anomaly detection | Use unsupervised learning to detect abnormalities in your dataset. |
| Clustering | Use unsupervised learning to group similar data and identify segments. |