Average shift:Refers to the mean vector of the Offset, which is a non-parameter technology.
Main ideas:First, randomly select an initial interest area (initial window) and determine its center of gravity. Next, search for areas of interest with a higher density of the surrounding points and confirm that the center of gravity repeats the above process, moving the mean continuously until convergence.
In the moving all method, you must confirm
Multi-Variable Density Kernel Estimator.Among them, the function of the kernel function is to make a difference in the contribution to the mean price as the distance between the feature points and the mean value is different.
For specific examples and reference formulas, see image engineering (in) p68-70.
Advantage: it is related to the global expression of data and is universal and robust to noise. It can be used in various practical scenarios.
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