Definition
A family of unsupervised learning methods, such as K-Means or DBSCAN, used to partition data into groups based on similarity without relying on labeled examples.
In short: A family of unsupervised learning methods, such as K-Means or DBSCAN, used to partition data into groups based on similarity without relying on labeled examples.