Clustering is an unsupervised learning technique where an AI system groups data points based on their similarities without predefined labels. The goal is to find natural groupings in the data, such as customer segmentation or document classification. Algorithms like k-Means and DBSCAN are commonly used for clustering tasks, which help discover patterns or relationships within the data.