Topological density estimation and associated evaluation code/scripts
https://github.com/SteveHuntsmanBAESystems/TopologicalDensityEstimation
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Parameter-free density estimation. Unlike cross-validation (CV), which optimizes an L2 error estimate, TDE optimizes an estimate of the so-called unimodal category. TDE outperforms CV on qualitative measures of multimodality for highly multimodal distributions. It is faster than CV and requires no parameters: just sample data and a choice of kernel (Gaussian and Epanechnikov are supported, as are histograms).
Cite As
Steve Huntsman (2026). Topological density estimation (https://github.com/SteveHuntsmanBAESystems/TopologicalDensityEstimation), GitHub. Retrieved .
General Information
- Version 1.0.0.0 (26.3 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
