Clustering is a form of machine learning that is used to group similar items into clusters based on their features. For example, a researcher might take measurements of penguins, and group them based on similarities in their proportions.
Clustering is an example of unsupervised machine learning, in which you train a model to separate items into clusters based purely on their characteristics, or features. There is no previously known cluster value (or label) from which to train the model.
You can use Microsoft Azure Machine Learning designer to create clustering models by using a drag and drop visual interface, without needing to write any code.
In this module, you'll learn how to:
- Use Azure Machine Learning designer to train a clustering model.
- Use a clustering model for inferencing.
- Deploy a clustering model as a service.
To complete this module, you'll need a Microsoft Azure subscription. If you don't already have one, you can sign up for a free trial at https://azure.microsoft.com.