Package: fclust 2.1.3

Paolo Giordani

fclust: Fuzzy Clustering

Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.

Authors:Paolo Giordani [aut, cre], Maria Brigida Ferraro [aut], Alessio Serafini [aut]

fclust_2.1.3.tar.gz
fclust_2.1.3.tar.gz(r-4.7-arm64)fclust_2.1.3.tar.gz(r-4.7-x86_64)fclust_2.1.3.tar.gz(r-4.6-arm64)fclust_2.1.3.tar.gz(r-4.6-x86_64)
fclust_2.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fclust/json (API)

# Install 'fclust' in R:
install.packages('fclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

openblascpp

4.40 score 1 stars 5 packages 211 scripts 694 downloads 4 mentions 43 exports 3 dependencies

Last updated from:88b266de2c. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK176
linux-devel-x86_64OK179
source / vignettesOK218
linux-release-arm64OK172
linux-release-x86_64OK160
wasm-releaseOK181

Exports:ARI.Fcl.membcl.memb.Hcl.memb.tcl.sizecl.size.HFclustFclust.compareFclust.indexFKMFKM.entFKM.ent.noiseFKM.gkFKM.gk.entFKM.gk.ent.noiseFKM.gk.noiseFKM.gkbFKM.gkb.entFKM.gkb.ent.noiseFKM.gkb.noiseFKM.medFKM.med.noiseFKM.noiseFKM.pfFKM.pf.noiseHrawJACCARD.FMPCNEFRCNEFRC.noisePCPEplot.fclustprint.fclustRI.FSILSIL.Fsummary.fclustVATVCVVCV2VIFCRXB

Dependencies:MASSRcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Fuzzy adjusted Rand indexARI.F
Butterfly databutterfly
Cluster membershipcl.memb
Cluster membershipcl.memb.H
Cluster membershipcl.memb.t
Cluster sizecl.size
Cluster sizecl.size.H
Fuzzy clusteringFclust
Similarity between partitionsFclust.compare
Cluster validity indexesFclust.index
Fuzzy k-meansFKM
Fuzzy k-means with entropy regularizationFKM.ent
Fuzzy k-means with entropy regularization and noise clusterFKM.ent.noise
Gustafson and Kessel - like fuzzy k-meansFKM.gk
Gustafson and Kessel - like fuzzy k-means with entropy regularizationFKM.gk.ent
Gustafson and Kessel - like fuzzy k-means with entropy regularization and noise clusterFKM.gk.ent.noise
Gustafson and Kessel - like fuzzy k-means with noise clusterFKM.gk.noise
Gustafson, Kessel and Babuska - like fuzzy k-meansFKM.gkb
Gustafson, Kessel and Babuska - like fuzzy k-means with entropy regularizationFKM.gkb.ent
Gustafson, Kessel and Babuska - like fuzzy k-means with entropy regularization and noise clusterFKM.gkb.ent.noise
Gustafson, Kessel and Babuska - like fuzzy k-means with noise clusterFKM.gkb.noise
Fuzzy k-medoidsFKM.med
Fuzzy k-medoids with noise clusterFKM.med.noise
Fuzzy k-means with noise clusterFKM.noise
Fuzzy k-means with polynomial fuzzifierFKM.pf
Fuzzy k-means with polynomial fuzzifier and noise clusterFKM.pf.noise
Congressional Voting Records DatahouseVotes
Raw prototypesHraw
Fuzzy Jaccard indexJACCARD.F
McDonald's dataMc
Modified partition coefficientMPC
NBA teams dataNBA
Non-Euclidean Fuzzy Relational ClusteringNEFRC
Non-Euclidean Fuzzy Relational Clustering with noise clusterNEFRC.noise
Partition coefficientPC
Partition entropyPE
Plotting fuzzy clustering outputplot.fclust
Printing fuzzy clustering outputprint.fclust
Fuzzy Rand indexRI.F
Silhouette indexSIL
Fuzzy silhouette indexSIL.F
Summarizing fuzzy clustering outputsummary.fclust
Synthetic datasynt.data
Synthetic datasynt.data2
Unemployment dataunemployment
Visual Assessment of (Cluster) TendencyVAT
Visual Cluster ValidityVCV
(New) Visual Cluster ValidityVCV2
Visual inspection of fuzzy clustering resultsVIFCR
Xie and Beni indexXB