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apcluster (version 1.3.0)

Affinity Propagation Clustering

Description

The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. 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

2,985

Version

1.3.0

License

GPL (>= 2)

Maintainer

Ulrich Bodenhofer

Last Published

January 7th, 2013

Functions in apcluster (1.3.0)

aggExCluster

Exemplar-based Agglomerative Clustering
labels-methods

Generate label vector from clustering result
apclusterL

Leveraged Affinity Propagation
sparseToFull

Convert a Sparse Similarity Matrix to Standard Representation
preferenceRange

Determine Meaningful Ranges for Input Preferences
ExClust-class

Class "ExClust"
apcluster-package

APCluster Package
AggExResult-class

Class "AggExResult"
apclusterDemo

Affinity Propagation Demo
ch22Promoters

ch22Promoters Data Set
similarity

Methods for Computing Similarity Matrices
show-methods

Display Clustering Result Objects
apclusterK

Affinity Propagation for Pre-defined Number of Clusters
heatmap

Plot Heatmap
APResult-class

Class "APResult"
apcluster

Affinity Propagation
plot

Plot Clustering Results
cutree-methods

Cut Out Clustering Level from Cluster Hierarchy