QT Clustering using Euclidean Distance, Jackknife Correlation
Some simple MATLAB files that perform QT clustering
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QT clustering algorithm as described in:
Heyer, L. J., Kruglyak, S., Yooseph, S. (1999). Exploring expression data: Identification and analysis of coexpressed genes. Genome Research 9, 1106–1115.
http://genome.cshlp.org/content/9/11/1106.full
http://genome.cshlp.org/content/9/11/1106/F5.large.jpg
qtclusteuclid.m - use Euclidean distance as measure
qtclustjacknife.m - use Jackknife Correlation (see article above)
qtclustmod.m - use Euclidean distance, modified to always return 2 clusters.
Cite As
Misha Koshelev (2026). QT Clustering using Euclidean Distance, Jackknife Correlation (https://www.mathworks.com/matlabcentral/fileexchange/26432-qt-clustering-using-euclidean-distance-jackknife-correlation), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (4.47 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
