File clustering is an unsupervised machine learning technique used to group or cluster files based on their similarity or shared characteristics. It involves analyzing the contents or metadata of files and identifying patterns or relationships that allow similar files to be grouped together into distinct clusters. File clustering can be useful in tasks such as data organization, file classification, and anomaly detection.