Package: clue 0.3-68

clue: Cluster Ensembles

CLUster Ensembles.

Authors:Kurt Hornik [aut, cre], Walter Böhm [ctb]

clue_0.3-68.tar.gz
clue_0.3-68.zip(r-4.7-x86_64)clue_0.3-68.zip(r-4.7-arm64)clue_0.3-68.zip(r-4.6-x86_64)clue_0.3-68.zip(r-4.6-arm64)clue_0.3-68.zip(r-4.5-x86_64)
clue_0.3-68.tgz(r-4.6-x86_64)clue_0.3-68.tgz(r-4.6-arm64)clue_0.3-68.tgz(r-4.5-x86_64)clue_0.3-68.tgz(r-4.5-arm64)
clue_0.3-68.tar.gz(r-4.7-arm64)clue_0.3-68.tar.gz(r-4.7-x86_64)clue_0.3-68.tar.gz(r-4.6-arm64)clue_0.3-68.tar.gz(r-4.6-x86_64)
clue_0.3-68.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
clue/json (API)

# Install 'clue' in R:

install.packages('clue', repos = c('https://kurthornik.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

Cassini - Cassini Data
CKME - Cassini Data Partitions Obtained by K-Means
GVME - Gordon-Vichi Macroeconomic Partition Ensemble Data
GVME_Consensus - Gordon-Vichi Macroeconomic Consensus Partition Data
Kinship82 - Rosenberg-Kim Kinship Terms Partition Data
Kinship82_Consensus - Gordon-Vichi Kinship82 Consensus Partition Data
Phonemes - Miller-Nicely Consonant Phoneme Confusion Data

On CRAN:

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

10.66 score 2 stars 472 packages 1.1k scripts 75k downloads 10 mentions 52 exports 1 dependencies

Last updated from:e4f1519bdd. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	113
linux-devel-x86_64	OK	154
source / vignettes	OK	191
linux-release-arm64	OK	112
linux-release-x86_64	OK	130
macos-release-arm64	OK	116
macos-release-x86_64	OK	195
macos-oldrel-arm64	OK	124
macos-oldrel-x86_64	OK	166
windows-devel-arm64	OK	188
windows-devel-x86_64	OK	116
windows-release-arm64	OK	178
windows-release-x86_64	OK	98
windows-oldrel-x86_64	OK	95
wasm-release	OK	109

Exports:as.cl_addtree as.cl_class_ids as.cl_dendrogram as.cl_ensemble as.cl_hard_partition as.cl_hierarchy as.cl_membership as.cl_partition as.cl_ultrametric cl_agreement cl_bag cl_boot cl_class_ids cl_classes cl_consensus cl_dissimilarity cl_ensemble cl_fuzziness cl_join cl_margin cl_medoid cl_meet cl_membership cl_object_names cl_pam cl_pclust cl_predict cl_prototypes cl_tabulate cl_ultrametric cl_validity is.cl_dendrogram is.cl_ensemble is.cl_hard_partition is.cl_hierarchy is.cl_partition is.cl_soft_partition kmedoids l1_fit_ultrametric l1_fit_ultrametric_target ls_fit_addtree ls_fit_centroid ls_fit_sum_of_ultrametrics ls_fit_ultrametric ls_fit_ultrametric_target n_of_classes n_of_objects pclust pclust_family pclust_object solve_LSAP sumt

Dependencies:cluster

CLUster Ensembles

Introduction | Data structures and algorithms | Examples | Outlook

Rendered fromclue.Rnwusingutils::Sweave

Last update: 2026-02-18
Started: 2012-01-24

Citation

Readme and manuals

Help Manual

Help page	Topics
Additive Tree Distances	as.cl_addtree
Cassini Data	Cassini
Cassini Data Partitions Obtained by K-Means	CKME
Agreement Between Partitions or Hierarchies	cl_agreement
Bagging for Clustering	cl_bag
Bootstrap Resampling of Clustering Algorithms	cl_boot
Cluster Classes	cl_classes
Consensus Partitions and Hierarchies	cl_consensus
Dissimilarity Between Partitions or Hierarchies	cl_dissimilarity
Cluster Ensembles	as.cl_ensemble cl_ensemble is.cl_ensemble
Partition Fuzziness	cl_fuzziness
Membership Margins	cl_margin
Medoid Partitions and Hierarchies	cl_medoid
Memberships of Partitions	as.cl_membership cl_membership
Find Object Names	cl_object_names
K-Medoids Partitions of Clusterings	cl_pam
Prototype-Based Partitions of Clusterings	cl_pclust
Predict Memberships	cl_predict
Partition Prototypes	cl_prototypes
Tabulate Vector Objects	cl_tabulate
Ultrametrics of Hierarchies	as.cl_ultrametric cl_ultrametric
Validity Measures for Partitions and Hierarchies	cl_validity cl_validity.default
Fit Dissimilarities to a Hierarchy	l1_fit_ultrametric_target ls_fit_ultrametric_target
Gordon-Vichi Macroeconomic Partition Ensemble Data	GVME
Gordon-Vichi Macroeconomic Consensus Partition Data	GVME_Consensus
Hierarchies	as.cl_dendrogram as.cl_hierarchy cl_dendrogram cl_hierarchy is.cl_dendrogram is.cl_hierarchy plot.cl_dendrogram
Rosenberg-Kim Kinship Terms Partition Data	Kinship82
Gordon-Vichi Kinship82 Consensus Partition Data	Kinship82_Consensus
K-Medoids Clustering	kmedoids
Least Absolute Deviation Fit of Ultrametrics to Dissimilarities	l1_fit_ultrametric
Cluster Lattices	cl_join cl_meet Ops.cl_dendrogram Ops.cl_hierarchy Ops.cl_partition Summary.cl_hierarchy Summary.cl_partition
Least Squares Fit of Additive Tree Distances to Dissimilarities	ls_fit_addtree ls_fit_centroid
Least Squares Fit of Sums of Ultrametrics to Dissimilarities	ls_fit_sum_of_ultrametrics
Least Squares Fit of Ultrametrics to Dissimilarities	ls_fit_ultrametric
Classes in a Partition	as.cl_class_ids cl_class_ids n_of_classes
Number of Objects in a Partition or Hierarchy	n_of_objects
Partitions	as.cl_hard_partition as.cl_partition cl_hard_partition cl_partition is.cl_hard_partition is.cl_partition is.cl_soft_partition
Prototype-Based Partitioning	pclust pclust_family pclust_object
Miller-Nicely Consonant Phoneme Confusion Data	Phonemes
Solve Linear Sum Assignment Problem	solve_LSAP
Sequential Unconstrained Minimization Technique	sumt

Package: clue 0.3-68

clue: Cluster Ensembles

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)