# Clustering (Unsupervised ML)[¶](https://doc.dataiku.com/dss/latest/machine_learning/unsupervised/index.html#clustering-unsupervised-ml "Permalink to this headline")

Clustering (aka unsupervised machine learning) is used to understand the structure of your data. For instance, you could group customers into clusters based on their payment history, which could be used to guide sales strategies.

Note

Unlike supervised machine learning, you don’t need a **target** to conduct unsupervised machine learning

* Running Unsupervised Machine Learning in DSS

## Running Unsupervised Machine Learning in DSS[¶](https://doc.dataiku.com/dss/latest/machine_learning/unsupervised/index.html#running-unsupervised-machine-learning-in-dss "Permalink to this headline")

Use the following steps to access unsupervised machine learning in DSS:

* Go to the Flow for your project

* Click on the dataset you want to use

* Select the *Lab*

* Create a new visual analysis

* Click on the Models tab

* Select *Create first model*

* Select *Clustering*

* Clustering settings

+ Sampling

+ Features

+ Dimensionality reduction

+ Outliers detection

+ Algorithms
