Deep Clustering (Glossary)

Deep clustering is primarily used in the fields of Artificial Intelligence, Big Data and Smart Data, and Digital Transformation. It is a method that automatically sorts large amounts of data into meaningful groups (clusters). What's special about deep clustering: it uses artificial neural networks that analyse data in a particularly in-depth way, also recognising hidden patterns.

Imagine an online shop with tens of thousands of customer profiles. Deep clustering can help to group these customers not only by simple characteristics such as age or gender, but also by complex behavioural patterns. For example, it can identify shoppers who rarely buy but always snap up deals during promotions. With these insights, companies can play out targeted offers and thus increase their revenue.

Unlike classic clustering methods, deep clustering therefore works more intelligently: it discovers connections that would be difficult for humans to recognise, thus enabling completely new insights into data. This makes it particularly valuable for companies that want to get the most out of their data.