2D Bandwidth Estimator for KDE

Versione 1.4.0.0 (25,3 KB) da Matej Kristan
2D kernel density estimator from weighted data.
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Aggiornato 8 apr 2013

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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)

Cita come

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

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Ispirato: Ensemble MCMC sampler

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Versione Pubblicato Note della release
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