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apcluster (version 1.4.5)

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

5,496

Version

1.4.5

License

GPL (>= 2)

Maintainer

Ulrich Bodenhofer

Last Published

January 30th, 2018

Functions in apcluster (1.4.5)

coerce-methods

Coercion of cluster hierarchies
sort-methods

Sort clusters
similarities

Methods for Computing Similarity Matrices
AggExResult-class

Class "AggExResult"
apclusterDemo

Affinity Propagation Demo
show-methods

Display Clustering Result Objects
ch22Promoters

ch22Promoters Data Set
labels-methods

Generate label vector from clustering result
apclusterK

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

Class "ExClust"
plot

Plot Clustering Results
heatmap

Plot Heatmap
aggExCluster

Exemplar-based Agglomerative Clustering
apcluster-package

APCluster Package
apcluster-deprecated

Deprecated functions in package ‘apcluster’
apcluster

Affinity Propagation
apclusterL

Leveraged Affinity Propagation
cutree-methods

Cut Out Clustering Level from Cluster Hierarchy
preferenceRange

Determine Meaningful Ranges for Input Preferences
APResult-class

Class "APResult"
conversions

Conversions Between Dense and Sparse Similarity Matrices