2D Bandwidth Estimator for KDE

2D kernel density estimator from weighted data.

버전 1.4.0.0 (25.3 KB)
다운로드 수: 854
(0)
2013/4/8

이 제출물을 팔로우합니다

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)

인용 양식

Matej Kristan (2026). 2D Bandwidth Estimator for KDE (https://kr.mathworks.com/matlabcentral/fileexchange/36153-2d-bandwidth-estimator-for-kde), MATLAB Central File Exchange. 검색 날짜: .

도움

도움 준 파일: Ensemble MCMC sampler

카테고리

Help Center 및 MATLAB Answers에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
새 탭에서 열기
버전 퍼블리시됨 릴리스 정보
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