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# voronoin

N-D Voronoi diagram

## Syntax

[V,C] = voronoin(X)
[V,C] = voronoin(X,options)

## Description

[V,C] = voronoin(X) returns Voronoi vertices V and the Voronoi cells C of the Voronoi diagram of X. V is a numv-by-n array of the numv Voronoi vertices in n-dimensional space, each row corresponds to a Voronoi vertex. C is a vector cell array where each element contains the indices into V of the vertices of the corresponding Voronoi cell. X is an m-by-n array, representing m n-dimensional points, where n > 1 and m >= n+1.

The first row of V is a point at infinity. If any index in a cell of the cell array is 1, then the corresponding Voronoi cell contains the first point in V, a point at infinity. This means the Voronoi cell is unbounded.

voronoin uses Qhull.

[V,C] = voronoin(X,options) specifies a cell array of strings options to be used in Qhull. The default options are

• {'Qbb'} for 2- and 3-dimensional input

• {'Qbb','Qx'} for 4 and higher-dimensional input

If options is [], the default options are used. If code is {''}, no options are used, not even the default. For more information on Qhull and its options, see http://www.qhull.org.

## Visualization

You can plot individual bounded cells of an n-dimensional Voronoi diagram. To do this, use convhulln to compute the vertices of the facets that make up the Voronoi cell. Then use patch and other plot functions to generate the figure.

## Examples

### Example 1

Let

```x = [ 0.5    0
0      0.5
-0.5   -0.5
-0.2   -0.1
-0.1    0.1
0.1   -0.1
0.1    0.1 ]```

then

```[V,C] = voronoin(x)

V =
Inf       Inf
0.3833    0.3833
0.7000   -1.6500
0.2875    0.0000
-0.0000    0.2875
-0.0000   -0.0000
-0.0500   -0.5250
-0.0500   -0.0500
-1.7500    0.7500
-1.4500    0.6500
C =

[1x4 double]
[1x5 double]
[1x4 double]
[1x4 double]
[1x4 double]
[1x5 double]
[1x4 double]```

Use a for loop to see the contents of the cell array C.

```for i=1:length(C), disp(C{i}), end

4    2    1    3
10    5    2    1    9
9    1    3    7
10    8    7    9
10    5    6    8
8    6    4    3    7
6    4    2    5```

In particular, the fifth Voronoi cell consists of 4 points: V(10,:), V(5,:), V(6,:), V(8,:).

### Example 2

The following example illustrates the options input to voronoin. The commands

```X = [-1 -1; 1 -1; 1 1; -1 1];
[V,C] = voronoin(X)```

return an error message.

```? qhull input error: can not scale last coordinate. Input is
cocircular
or cospherical. Use option 'Qz' to add a point at infinity.```

The error message indicates that you should add the option 'Qz'. The following command passes the option 'Qz', along with the default 'Qbb', to voronoin.

```[V,C] = voronoin(X,{'Qbb','Qz'})
V =

Inf   Inf
0     0

C =

[1x2 double]
[1x2 double]
[1x2 double]
[1x2 double]```

expand all

### Algorithms

voronoin is based on Qhull [1]. For information about Qhull, see http://www.qhull.org/.

## References

[1] Barber, C. B., D.P. Dobkin, and H.T. Huhdanpaa, "The Quickhull Algorithm for Convex Hulls," ACM Transactions on Mathematical Software, Vol. 22, No. 4, Dec. 1996, p. 469-483.