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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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://www.mathworks.com/matlabcentral/fileexchange/44256-robust-multidimensional-scaling-mds-using-ecdfs), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (3.03 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
