Unsupervised learning
Artificial intelligence and innovation - Definitions and principles

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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...

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