Affinity Propagation Clustering
Exemplar-based Agglomerative Clustering
Class "AggExResult"
Affinity Propagation
APCluster Package
Affinity Propagation Demo
Affinity Propagation for Pre-defined Number of Clusters
Leveraged Affinity Propagation
Class "APResult"
Coercion of cluster hierarchies
Conversions Between Dense and Sparse Similarity Matrices
Cut Out Clustering Level from Cluster Hierarchy
Class "ExClust"
Plot Heatmap
Generate label vector from clustering result
Plot Clustering Results
Determine Meaningful Ranges for Input Preferences
Display Clustering Result Objects
Methods for Computing Similarity Matrices
Sort clusters
Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.