# Minimum Volume Enclosing Ellipsoid

Version 1.2.0.0 (2,05 ko) par
Computes the minimum-volume covering ellipoid that encloses N points in a D-dimensional space.
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Mise à jour 20 jan. 2009

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[A , c] = MinVolEllipse(P, tolerance)

Finds the minimum volume enclosing ellipsoid (MVEE) of a set of data points stored in matrix P. The following optimization problem is solved:

minimize log(det(A))
s.t. (P_i - c)'*A*(P_i - c)<= 1

in variables A and c, where P_i is the i-th column of the matrix P.
The solver is based on Khachiyan Algorithm, and the final solution is different from the optimal value by the pre-specified amount of 'tolerance'.
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Outputs:

c : D-dimensional vector containing the center of the ellipsoid.

A : This matrix contains all the information regarding the shape of the ellipsoid. To get the radii and orientation of the ellipsoid take the Singular Value Decomposition ( svd function in matlab) of the output matrix A:

[U Q V] = svd(A);

r1 = 1/sqrt(Q(1,1));
r2 = 1/sqrt(Q(2,2));
...
rD = 1/sqrt(Q(D,D));

and matrix V is the rotation matrix that gives you the orientation of the ellipsoid.

For plotting in 2D or 3D, use MinVolEllipse_plot.m (see the link bellow)

### Citation pour cette source

Nima Moshtagh (2024). Minimum Volume Enclosing Ellipsoid (https://www.mathworks.com/matlabcentral/fileexchange/9542-minimum-volume-enclosing-ellipsoid), MATLAB Central File Exchange. Récupéré le .

##### Compatibilité avec les versions de MATLAB
Créé avec R13
Compatible avec toutes les versions
##### Plateformes compatibles
Windows macOS Linux
##### Catégories
En savoir plus sur Vector Volume Data dans Help Center et MATLAB Answers

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Version Publié le Notes de version
1.2.0.0

A sample code is provided in the help section that shows a method to reduce the computation time drastically.

1.0.0.0