Unsupervised Learning

machine-learning

Definition

Unsupervised Learning

Unsupervised learning is a type of machine learning that involves training models on data without labeled outcomes, enabling the discovery of patterns and structures within the data itself. This method is used to perform tasks such as clustering, where similar data points are grouped together, and dimensionality reduction, which simplifies data without losing critical information. Unsupervised learning helps in identifying hidden patterns or intrinsic structures that are not readily apparent.

Learning Algorithm

Definition

Unsupervised Learning Algorithm

An unsupervised learning algorithm is a learning algorithm that maps unlabelled training data to a specific hypothesis:

$$A:{\mathcal{X}}^m\to \mathcal{H}$$

where:

• $\mathcal{X}$ is the instance space.
• $\mathcal{H}$ is the hypothesis class.

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