Semi-supervised Affinity Propagation clustering
Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert
Dueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed, general applicability, and suitable for large number of clusters.
Semi-supervised AP improves AP by: embedding Silhouette indices into the programs of AP to supervise the running of AP, so that the AP will give its optimal clustering solution.
The programs of semi-supervised AP are suitable for the person who has interests in studying or improving AP algorithm, and then the semi-supervised AP may be an example for reference.
인용 양식
Kaijun Wang (2024). Semi-supervised Affinity Propagation clustering (https://www.mathworks.com/matlabcentral/fileexchange/18245-semi-supervised-affinity-propagation-clustering), MATLAB Central File Exchange. 검색됨 .
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