QT Clustering using Euclidean Distance, Jackknife Correlation
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 (2024). 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
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |