二维高斯核函数重构



重构方法不依赖于参数化模型-2D Gaussian Kernel Reconstruction

　fast and accurate state-of-the-art

　bivariate kernel density estimator

　with diagonal bandwidth matrix.

　The kernel is assumed to be Gaussian.

　The two bandwidth parameters are

　chosen optimally without ever

　using/assuming a parametric model for the data or any　rules of thumb .

　Unlike many other procedures, this one

　is immune to accuracy failures in the estimation of

　multimodal densities with widely separated modes