Semi-supervised Affinity Propagation clustering 1.0

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and DelbertDueck. 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.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Clusters,  Embedding,  Improves,  Indices,  Number,  Programs,  Running,  Semisupervised,  Silhouette,  Supervise
Users rating:	0/10