> The common theme of these problems is that when the dimensionality increases, the volume of the space increases so fast that the available data become sparse. This sparsity is problematic for any method that requires statistical significance.
Although I wonder if you can't account for that by simply increasing the kernel bandwidth. Perhaps not. Perhaps this is why mean-shift seems to be mostly used for computer vision and image processing, where (I guess?) the number of dimensions is low.