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WeightedCluster (version 1.4-1)

Clustering of Weighted Data

Description

Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.

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Version

Install

install.packages('WeightedCluster')

Monthly Downloads

958

Version

1.4-1

License

GPL (>= 2)

Maintainer

Matthias Studer

Last Published

July 6th, 2020

Functions in WeightedCluster (1.4-1)

as.seqtree

Convert a hierarchical clustering object to a seqtree object.
wcKMedoids

K-Medoids or PAM clustering of weighted data.
wcAggregateCases

Aggregate identical cases.
wcCmpCluster

Automatic comparison of clustering methods.
wcKMedRange

Compute wcKMedoids clustering for different number of clusters.
seqclustname

Automatic labeling of cluster using sequence medoids
as.clustrange

Build a clustrange object to compare different clustering solutions.
seqpropclust

Monothetic clustering of state sequences
wcClusterQuality

Cluster quality statistics
wcSilhouetteObs

Compute the silhouette of each object using weighted data.
fuzzyseqplot

Plot sequences according to a fuzzy clustering.