Mean Shift Algorithm
IntroductionIn the article we will look at the basics of Mean Shift Algorithm.
Kernel density Estimationlet us first consider a univariate gaussian PDF and sampled data from the PDF. The kernel density estimation uses fact that the density of samples about a given point is proportional to its probability.
It approximates the probability density by estimating the local density of points as seen in figure fig:image1 is resonable.
Large density of points are observed near the maximum of PDF.