2D Bandwidth Estimator for KDE

版本 1.4.0.0 (25.3 KB) 作者: Matej Kristan
2D kernel density estimator from weighted data.
849.0 次下载
更新 2013/4/8

查看许可证

The submission includes a code for estimating a 2D bandwidth ("getBandwidth.m") matrix for a Gaussian Kernel Density Estimator. The included demonstration code ("demoBWEstimation.m") estimates a bandwidth from a weighted set of data-points and displays the resulting KDE by tabulating it, as well as displaying it as a Gaussian Mixture Model. The bandwidth calculation is a special case of a more general bandwidth estimator [1], which was developed originally for online density estimation.

[1] Kristan et al., Multivariate Online Kernel Density Estimation with Gaussian Kernels, Pattern Recognition, 2011 (url: http://vicos.fri.uni-lj.si/data/publications/KristanPR11.pdf)

引用格式

Matej Kristan (2026). 2D Bandwidth Estimator for KDE (https://ww2.mathworks.cn/matlabcentral/fileexchange/36153-2d-bandwidth-estimator-for-kde), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2011a
兼容任何版本
平台兼容性
Windows macOS Linux
类别
Help CenterMATLAB Answers 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
致谢

启发作品: Ensemble MCMC sampler

版本 已发布 发行说明
1.4.0.0

added the following missing function:

function s = col_sum( a )

s = sum(a,1) ;

1.2.0.0

Just the description.

1.0.0.0