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Mean shift is a non-parametric feature-space mathematical analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm.^[1] Application domains include cluster analysis in computer vision and image processing.^[2]

^ Cheng, Yizong (August 1995). "Mean Shift, Mode Seeking, and Clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence. 17 (8): 790–799. CiteSeerX 10.1.1.510.1222. doi:10.1109/34.400568.
^ Comaniciu, Dorin; Peter Meer (May 2002). "Mean Shift: A Robust Approach Toward Feature Space Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 24 (5): 603–619. CiteSeerX 10.1.1.160.3832. doi:10.1109/34.1000236. S2CID 691081.