2D Bandwidth Estimator for KDE

2D kernel density estimator from weighted data.
837 téléchargements
Mise à jour 8 avr. 2013

Afficher la licence

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)

Citation pour cette source

Matej Kristan (2024). 2D Bandwidth Estimator for KDE (https://www.mathworks.com/matlabcentral/fileexchange/36153-2d-bandwidth-estimator-for-kde), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2011a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
Remerciements

A inspiré : Ensemble MCMC sampler

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Publié le Notes de version
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