文件名称:kde2d
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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
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
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下载文件列表
kde2d\kde2d.m
.....\license.txt
kde2d