Package: WeightedCluster 1.8-1

WeightedCluster: Clustering of Weighted Data

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 (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided. Finally, it provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis.

Authors:Matthias Studer [aut, cre]

WeightedCluster_1.8-1.tar.gz
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WeightedCluster.pdf |WeightedCluster.html✨
WeightedCluster/json (API)
NEWS

# Install 'WeightedCluster' in R:
install.packages('WeightedCluster', repos = c('https://matthias-studer.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

5.55 score 4 packages 106 scripts 890 downloads 2 mentions 18 exports 26 dependencies

Last updated 4 months agofrom:5290b66128. Checks:1 ERROR, 11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesFAILMar 10 2025
R-4.5-win-x86_64OKMar 10 2025
R-4.5-mac-x86_64OKMar 10 2025
R-4.5-mac-aarch64OKMar 10 2025
R-4.5-linux-x86_64OKMar 10 2025
R-4.4-win-x86_64OKMar 10 2025
R-4.4-mac-x86_64OKMar 10 2025
R-4.4-mac-aarch64OKMar 10 2025
R-4.4-linux-x86_64OKMar 10 2025
R-4.3-win-x86_64OKMar 10 2025
R-4.3-mac-x86_64OKMar 10 2025
R-4.3-mac-aarch64OKMar 10 2025

Exports:as.clustrangeas.seqtreebootclustrangeclustassocdtcutfuzzyseqplotseqclararangeseqclustnameseqnullseqnullcqiseqpropclustwcAggregateCaseswcClusterQualitywcCmpClusterwcKMedoidswcKMedRangewcPropertyClusteringwcSilhouetteObs

Dependencies:bootclustercodetoolscolorspacedigestdoFuturefastclusterforeachfuturefuture.applyglobalsiteratorslatticelistenvMASSMatrixmgcvnlmennetparallellypermuteprogressrRColorBrewerTraMineRveganvegclust

Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R

Rendered fromWeightedClusterFR.Rnwusingknitr::knitron Mar 10 2025.

Last update: 2014-01-16
Started: 2014-01-16

Short R Tutorial: Fuzzy and Property-Based Clustering for Sequence Analysis

Matthias Studer

Rendered fromFuzzySA.Rmdusingknitr::rmarkdownon Mar 10 2025.

Last update: 2024-12-10
Started: 2024-12-10

Short R Tutorial: Sequence Analysis Typologies for Large Databases

Matthias Studer

Rendered fromBigDataSA.Rmdusingknitr::rmarkdownon Mar 10 2025.

Last update: 2024-12-10
Started: 2024-12-10

Short R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent Regression

Matthias Studer

Rendered fromClusterExternalValidSA.Rmdusingknitr::rmarkdownon Mar 10 2025.

Last update: 2024-12-10
Started: 2024-12-10

Short R Tutorial: Validating Sequence Analysis Typologies Using Parametric Bootstrap

Matthias Studer

Rendered fromClusterValidSA.Rmdusingknitr::rmarkdownon Mar 10 2025.

Last update: 2024-12-10
Started: 2024-12-10

WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R

Rendered fromWeightedCluster.Rnwusingknitr::knitron Mar 10 2025.

Last update: 2014-01-16
Started: 2014-01-16

WeightedCluster Preview

Rendered fromWeightedClusterPreview.Rnwusingknitr::knitron Mar 10 2025.

Last update: 2019-03-21
Started: 2014-01-16

Readme and manuals

Help Manual

Help pageTopics
Build a clustrange object to compare different clustering solutions.as.clustrange as.clustrange.dtclust as.clustrange.hclust as.clustrange.twins plot.clustrange
Convert a hierarchical clustering object to a seqtree object.as.seqtree as.seqtree.hclust as.seqtree.twins
Cluster Quality Indices estimation by subsamplingbootclustrange plot.bootclustrange print.bootclustrange
Share of an association between an object (described by a dissimilarity matrix) and a covariate that is reproduced by a clustering solution.clustassoc plot.clustassoc
Plot sequences according to a fuzzy clustering.fuzzyseqplot
Plot of cluster quality of CLARA algorithm.plot.seqclararange
CLARA Clustering for Sequence Analysisseqclararange
Automatic labeling of cluster using sequence medoidsseqclustname
Generate nonclustered sequence data according to different null models.seqnull
Sequence Analysis Typologies Validation Using Parametric Bootstrapplot.seqnullcqi print.seqnullcqi seqnullcqi
Monothetic clustering of state sequencesdtcut seqpropclust wcPropertyClustering
Aggregate identical cases.print.wcAggregateCases wcAggregateCases wcAggregateCases.data.frame wcAggregateCases.matrix wcAggregateCases.stslist
Cluster quality statisticswcClusterQuality
Automatic comparison of clustering methods.plot.clustrangefamily print.clustrangefamily summary.clustrangefamily wcCmpCluster
K-Medoids or PAM clustering of weighted data.wcKMedoids
Compute 'wcKMedoids' clustering for different number of clusters.wcKMedRange
Compute the silhouette of each object using weighted data.wcSilhouetteObs