Affinity Propagation Clustering


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Documentation for package ‘apcluster’ version 1.1.1

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apcluster-package APCluster Package
aggExCluster Exemplar-based Agglomerative Clustering
aggexcluster Exemplar-based Agglomerative Clustering
AggExResult Class "AggExResult"
aggexresult Class "AggExResult"
AggExResult-class Class "AggExResult"
apcluster Affinity Propagation
apclusterDemo Affinity Propagation Demo
apclusterK Affinity Propagation for Pre-defined Number of Clusters
apclusterLM Affinity Propagation
APResult Class "APResult"
apresult Class "APResult"
APResult-class Class "APResult"
ch22Promoters ch22Promoters Data Set
cutree Cut Out Clustering Level from Cluster Hierarchy
cutree-method Cut Out Clustering Level from Cluster Hierarchy
cutree-methods Cut Out Clustering Level from Cluster Hierarchy
ExClust Class "ExClust"
exclust Class "ExClust"
ExClust-class Class "ExClust"
expSimMat Methods for Computing Similarity Matrices
labels Generate label vector from clustering result
labels-method Generate label vector from clustering result
labels-methods Generate label vector from clustering result
linKernel Methods for Computing Similarity Matrices
linSimMat Methods for Computing Similarity Matrices
negDistMat Methods for Computing Similarity Matrices
plot Plot Clustering Results
plot-method Plot Clustering Results
plot-methods Plot Clustering Results
preferenceRange Determine Meaningful Ranges for Input Preferences
show Display Clustering Result Objects
show-method Display Clustering Result Objects
show-methods Display Clustering Result Objects
sparseToFull Convert a Sparse Similarity Matrix to Standard Representation