Clustering (Unsupervised ML)

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

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 AutoML Clustering

• Clustering settings
  • Sampling
  • Features
  • Dimensionality reduction
  • Outliers detection
  • Algorithms