What is it?
Mean Shift is a centroid-based Clustering |algorithm which can apply statistical distributions and other Kernel functions to group together data points closer to centroids.
Depending on the Kernel function used, Mean Shift can handle very complex and non-linear data, which would be impossible to handle in other clustering methods, like K-Means.