kmedioids
Version 1.0.0.0 (2.04 KB) by
Benjamin Sapp
Performs kmedioids clustering, requires only a nxn distance matrix D and number of clusters, k.
Performs k-mediods clustering; only requires a distance matrix D and number of clusters k. Finds cluster assignments "inds" to minimize the following cost function:
sum(D(inds==i,inds==i),2), summed over i=1:k
Determining cluster assignments and cluster centers are both done in an efficient, vectorized way. Cluster assignment is O(nk) and cluster centering is O(k*(max cluster size)^2)
Cite As
Benjamin Sapp (2026). kmedioids (https://uk.mathworks.com/matlabcentral/fileexchange/28860-kmedioids), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2010a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
