Unsupervised learning
Artificial intelligence and innovation - Definitions and principles
Article REF: AG296 V1
Unsupervised learning
Artificial intelligence and innovation - Definitions and principles

Author : Jean-François SIGRIST

Publication date: April 10, 2025 | Lire en français

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3. Unsupervised learning

The aim of "unsupervised" learning [H 5 012] is to extract information and discover hidden structures from unannotated data: an unsupervised learning algorithm therefore explores the data without any a priori knowledge of the classes or expected results. The main unsupervised learning methods are partitioning and dimensionality reduction, the principles of which are briefly explained below.

3.1 Dimensionality reduction

Dimensionality reduction methods are a class...

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