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apcluster (version 1.2.1)

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 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

3,156

Version

1.2.1

License

GPL (>= 2)

Maintainer

Ulrich Bodenhofer

Last Published

June 12th, 2012

Functions in apcluster (1.2.1)

AggExResult-class

Class "AggExResult"
apcluster

Affinity Propagation
labels-methods

Generate label vector from clustering result
apclusterDemo

Affinity Propagation Demo
show-methods

Display Clustering Result Objects
cutree-methods

Cut Out Clustering Level from Cluster Hierarchy
apcluster-package

APCluster Package
plot-methods

Plot Clustering Results
ch22Promoters

ch22Promoters Data Set
ExClust-class

Class "ExClust"
aggExCluster

Exemplar-based Agglomerative Clustering
similarity

Methods for Computing Similarity Matrices
preferenceRange

Determine Meaningful Ranges for Input Preferences
sparseToFull

Convert a Sparse Similarity Matrix to Standard Representation
apclusterK

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

Class "APResult"