Package: mstclustering 1.0.0.0

Kevin Michael Frick

mstclustering: "MST-Based Clustering"

Implements a minimum-spanning-tree-based heuristic for k-means clustering using a union-find disjoint set and the algorithm in Kruskal (1956) <doi:10.1090/S0002-9939-1956-0078686-7>.

Authors:Kevin Michael Frick <[email protected]>

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mstclustering.pdf |mstclustering.html
mstclustering/json (API)

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

Peer review:

On CRAN:

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

1.00 score 151 downloads 8 exports 12 dependencies

Last updated 3 years agofrom:c8008357cc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:find.setgen.child.list.mstgen.edge.listis.same.setkruskalmst.clusterreset.ufdsunion.set

Dependencies:clidata.tablegluelifecyclemagrittrplyrRcppreshape2rlangstringistringrvctrs

Readme and manuals

Help Manual

Help pageTopics
find.setfind.set
gen.child.list.mstgen.child.list.mst
gen.edge.listgen.edge.list
is.same.setis.same.set
kruskalkruskal
mst.clustermst.cluster
reset.ufdsreset.ufds
union.setunion.set