2D Bandwidth Estimator for KDE

2D kernel density estimator from weighted data.
848 Downloads
Aktualisiert 8. Apr 2013

Lizenz anzeigen

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)

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2011a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Statistics and Machine Learning Toolbox finden Sie in Help Center und MATLAB Answers
Quellenangaben

Inspiriert: Ensemble MCMC sampler

Version Veröffentlicht Versionshinweise
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