Definition
A category of machine learning where the model is trained on unlabeled data, tasked with finding hidden patterns, structure, and relationships within the data on its own.
In short: A category of machine learning where the model is trained on unlabeled data, tasked with finding hidden patterns, structure, and relationships within the data on its own.