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Hausdorff Distance

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The Hausdorff Distance is a mathematical construct to measure the "closeness" of two sets of points that are subsets of a metric space.

Such a measure may be used to assign a scalar score to the similarity between two trajectories, data clouds or any sets of points.

This function will (quickly) return the Hausdorff Distance of any two 2-dimensional sets of points.

For more information on the Hausdorff Distance: http://en.wikipedia.org/wiki/Hausdorff_distance

Free download from Shareware Connection - The Hausdorff Distance is a mathematical construct to measure the "closeness" of two sets of points that are subsets of a metric space.

Publisher: Zachary Danziger | License: Shareware
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 24-06-2013 | Rating: 0 | Title: Hausdorff Distance

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/26738/3/HausdorffDist.zip

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Hausdorff Distance keywords:
Hausdorff Distance related downloads:

Modified Hausdorff Distance - This function computes the Modified Hausdorff Distance (MHD) which is proven to function better than the directed HD as per Dubuisson et al. in the following work: M. P. Dubuisson and A. K. Jain. A Modified Hausdorff distance for object matching.

*MEX* Modified Hausdorff Distance for 2D Point Sets - This function computes the Modified Hausdorff Distance (MHD) which is proven to function better than the directed HD as per Dubuisson et al. in the following work: M. P. Dubuisson and A. K. Jain. A Modified Hausdorff distance for object matching.

Two point correlation function of a finite 2D lattice - Computes the distance 2-point correlation function of a finite 2D lattice.

M.E.S.H. - MESH is a tool that measures distortion between two discrete surfaces (triangular meshes) using the Hausdorff distance to compute a maximum, mean and root-mean-square errors between two given surfaces.

Nobirds seq diff - The Java class library, that contains classes for calculation of different mathematical relations between object and number sequences and sets: Kendall distance, Spearman distance, similarity measure, L1 distance and others.

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