Unsupervised learning algorithms learn from unlabeled data, where the desired output is not known. These algorithms aim to discover hidden patterns or structures in the data.

Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.

An overview of artificial intelligence (AI) and machine learning (ML) technology, including a description of how machines can be designed to learn on their own, through supervised and unsupervised ...