Package: cluster 2.1.6

cluster: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".

Authors:Martin Maechler [aut, cre], Peter Rousseeuw [aut], Anja Struyf [aut], Mia Hubert [aut], Kurt Hornik [trl, ctb], Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb], Keefe Murphy [ctb]

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cluster.pdf |cluster.html✨
cluster/json (API)
NEWS

# Install 'cluster' in R:
install.packages('cluster', repos = c('https://mmaechler.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • agriculture - European Union Agricultural Workforces
  • animals - Attributes of Animals
  • chorSub - Subset of C-horizon of Kola Data
  • flower - Flower Characteristics
  • plantTraits - Plant Species Traits Data
  • pluton - Isotopic Composition Plutonium Batches
  • ruspini - Ruspini Data
  • votes.repub - Votes for Republican Candidate in Presidential Elections
  • xclara - Bivariate Data Set with 3 Clusters

On CRAN:

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

25 exports 3 stars 14.54 score 0 dependencies 2065 dependents 416 mentions 12.3k scripts 48.0k downloads

Last updated 10 months agofrom:2b3e5ed4f1. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-win-x86_64NOTEAug 21 2024
R-4.5-linux-x86_64NOTEAug 21 2024
R-4.4-win-x86_64NOTEAug 21 2024
R-4.4-mac-x86_64NOTEAug 21 2024
R-4.4-mac-aarch64NOTEAug 21 2024
R-4.3-win-x86_64NOTEAug 21 2024
R-4.3-mac-x86_64NOTEAug 21 2024
R-4.3-mac-aarch64NOTEAug 21 2024

Exports:agnesbannerplotclaraclusGapclusplotcoef.hclustcoefHierdaisydianaellipsoidhullellipsoidPointsfannylower.to.upper.tri.indsmaxSEmeanabsdevmedoidsmonapampltreepredict.ellipsoidsilhouettesizeDisssortSilhouetteupper.to.lower.tri.indsvolume

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Agglomerative Nesting (Hierarchical Clustering)agnes
Agglomerative Nesting (AGNES) Objectagnes.object
European Union Agricultural Workforcesagriculture
Attributes of Animalsanimals
Plot Banner (of Hierarchical Clustering)bannerplot
Subset of C-horizon of Kola DatachorSub
Clustering Large Applicationsclara
Clustering Large Applications (CLARA) Objectclara.object
Gap Statistic for Estimating the Number of ClustersclusGap maxSE plot.clusGap print.clusGap
Bivariate Cluster Plot (of a Partitioning Object)clusplot clusplot.partition
Bivariate Cluster Plot (clusplot) Default Methodclusplot.default
Agglomerative / Divisive Coefficient for 'hclust' Objectscoef.hclust coef.twins coefHier
Dissimilarity Matrix Calculationdaisy
DIvisive ANAlysis Clusteringdiana diana.object
Dissimilarity Matrix Objectdissimilarity.object
Compute the Ellipsoid Hull or Spanning Ellipsoid of a Point Setellipsoidhull print.ellipsoid
Fuzzy Analysis Clusteringfanny
Fuzzy Analysis (FANNY) Objectfanny.object
Flower Characteristicsflower
Permute Indices for Triangular Matriceslower.to.upper.tri.inds upper.to.lower.tri.inds
Compute 'pam'-consistent Medoids from Clusteringmedoids
MONothetic Analysis Clustering of Binary Variablesmona
Monothetic Analysis (MONA) Objectmona.object
Partitioning Around Medoidspam
Partitioning Around Medoids (PAM) Objectpam.object
Partitioning Objectpartition partition.object
Plant Species Traits DataplantTraits
Plots of an Agglomerative Hierarchical Clusteringplot.agnes
Plots of a Divisive Hierarchical Clusteringplot.diana
Banner of Monothetic Divisive Hierarchical Clusteringsplot.mona
Plot of a Partition of the Data Setplot.partition
Plot Clustering Tree of a Hierarchical Clusteringpltree pltree.twins
Isotopic Composition Plutonium Batchespluton
Predict Method for Ellipsoid ObjectsellipsoidPoints predict.ellipsoid
Print Method for AGNES Objectsprint.agnes
Print Method for CLARA Objectsprint.clara
Print Method for DIANA Objectsprint.diana
Print and Summary Methods for Dissimilarity Objectsprint.dissimilarity print.summary.dissimilarity summary.dissimilarity
Print and Summary Methods for FANNY Objectsprint.fanny print.summary.fanny summary.fanny
Print Method for MONA Objectsprint.mona
Print Method for PAM Objectsprint.pam
Ruspini Dataruspini
Compute or Extract Silhouette Information from Clusteringplot.silhouette print.summary.silhouette silhouette silhouette.clara silhouette.default silhouette.partition sortSilhouette summary.silhouette
Sample Size of Dissimilarity Like ObjectsizeDiss
Summary Method for 'agnes' Objectsprint.summary.agnes summary.agnes
Summary Method for 'clara' Objectsprint.summary.clara summary.clara
Summary Method for 'diana' Objectsprint.summary.diana summary.diana
Summary Method for 'mona' Objectsprint.summary.mona summary.mona
Summary Method for PAM Objectsprint.summary.pam summary.pam
Hierarchical Clustering Objecttwins twins.object
Compute the Volume (of an Ellipsoid)volume volume.ellipsoid
Votes for Republican Candidate in Presidential Electionsvotes.repub
Bivariate Data Set with 3 Clustersxclara