Constrained K-Means
Implementation of the Constrained K-Means algorithm, with minimum cluster size constraints.
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Implementation of the Constrained K-Means clustering algorithm, which runs K-Means but with a minimum cluster size constraint. This algorithm appears in Algorithm 2.2 in the following paper:
Bradley, P. S., Bennett, K. P., & Demiriz, A. (2000). Constrained k-means clustering. Microsoft Research, Redmond, 20(0), 0.
Cite As
Sam Polk (2026). Constrained K-Means (https://uk.mathworks.com/matlabcentral/fileexchange/117355-constrained-k-means), MATLAB Central File Exchange. Retrieved .
Bradley, P. S., Bennett, K. P., & Demiriz, A. (2000). Constrained k-means clustering. Microsoft Research, Redmond, 20(0), 0.
General Information
- Version 1.0.0 (2.42 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
