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High Quality Content by WIKIPEDIA articles! Mean-shift is a non-parametric feature-space analysis technique. Application domains include clustering in computer vision and image processing.The mean shift procedure was originally presented in 1975 by Fukunaga and Hostetler.Mean shift is a procedure for locating the maxima of a density function given discrete data sampled from that function. It is useful for detecting the modes of this density..This is an iterative method, and we start with an initial estimate x. Let a kernel function K(xi x) be given. This function determines the weight of nearby points for re-estimation of the mean.