Evaluate clustering solutions using BIC and AIC
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BICforClustering
Evaluate clustering solutions using BIC and AIC.
bicCluster.m follows SPSS's implementation of BIC for clustering.
findKneeScatter.m can be used to programmatically find a knee in the BIC or AIC curve by minimizing euclidean distance to a line drawn between the first and last points on the curve.
Cite As
Alex Teghipco (2026). BICforClustering (https://github.com/alexteghipco/BICforClustering/releases/tag/v1.0.0), GitHub. Retrieved .
General Information
- Version 1.0.0 (14.1 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
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.
