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apcluster (version 1.4.3)

Affinity Propagation Clustering

Description

Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) . 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.

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Version

Install

install.packages('apcluster')

Monthly Downloads

2,669

Version

1.4.3

License

GPL (>= 2)

Maintainer

Ulrich Bodenhofer

Last Published

February 24th, 2016

Functions in apcluster (1.4.3)

coerce-methods

Coercion of cluster hierarchies
heatmap

Plot Heatmap
ExClust-class

Class "ExClust"
apcluster-deprecated

Deprecated functions in package ‘apcluster’
ch22Promoters

ch22Promoters Data Set
show-methods

Display Clustering Result Objects
preferenceRange

Determine Meaningful Ranges for Input Preferences
APResult-class

Class "APResult"
apclusterL

Leveraged Affinity Propagation
plot

Plot Clustering Results
apclusterDemo

Affinity Propagation Demo
apcluster-package

APCluster Package
apcluster

Affinity Propagation
cutree-methods

Cut Out Clustering Level from Cluster Hierarchy
conversions

Conversions Between Dense and Sparse Similarity Matrices
apclusterK

Affinity Propagation for Pre-defined Number of Clusters
AggExResult-class

Class "AggExResult"
labels-methods

Generate label vector from clustering result
aggExCluster

Exemplar-based Agglomerative Clustering
similarities

Methods for Computing Similarity Matrices
sort-methods

Sort clusters