QT Clustering using Euclidean Distance, Jackknife Correlation

Version 1.0.0.0 (4.47 KB) by Misha Koshelev
Some simple MATLAB files that perform QT clustering
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Updated 20 Jan 2010

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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 .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0.0