Robust Multidimensional scaling (MDS) using ECDFs

Take m points in R^n and transform those points to R^p such that the ECDF of distances are preserved
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Updated 11 Nov 2013

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Take m points in R^n and transform those points to R^p using random vectors such that the ECDF of L1 distances are preserved.

It is often used to transform high dimensional data into 2D or 3D for examination via scatterplots.

Cite As

michael kim (2026). Robust Multidimensional scaling (MDS) using ECDFs (https://uk.mathworks.com/matlabcentral/fileexchange/44256-robust-multidimensional-scaling-mds-using-ecdfs), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers
Version Published Release Notes
1.0.0.0