Topological density estimation

Version 1.0.0.0 (26.3 KB) by Steve Huntsman
Topological density estimation and associated evaluation code/scripts
0.0
(0)
58 Downloads
Updated 4 Mar 2017
View License on GitHub

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 .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers
Tags Add Tags

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.