Package: optpart 3.0-3
optpart: Optimal Partitioning of Similarity Relations
Contains a set of algorithms for creating partitions and coverings of objects largely based on operations on (dis)similarity relations (or matrices). There are several iterative re-assignment algorithms optimizing different goodness-of-clustering criteria. In addition, there are covering algorithms 'clique' which derives maximal cliques, and 'maxpact' which creates a covering of maximally compact sets. Graphical analyses and conversion routines are also included.
Authors:
optpart_3.0-3.tar.gz
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optpart.pdf |optpart.html✨
optpart/json (API)
# Install 'optpart' in R: |
install.packages('optpart', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
archivedpackagesr-universefortran
Last updated 11 days agofrom:01a1653eae (on package/optpart). Checks:1 OK, 8 NOTE. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 10 2025 |
R-4.5-win-x86_64 | NOTE | Jan 10 2025 |
R-4.5-linux-x86_64 | NOTE | Jan 10 2025 |
R-4.4-win-x86_64 | NOTE | Jan 10 2025 |
R-4.4-mac-x86_64 | NOTE | Jan 10 2025 |
R-4.4-mac-aarch64 | NOTE | Jan 10 2025 |
R-4.3-win-x86_64 | NOTE | Jan 10 2025 |
R-4.3-mac-x86_64 | NOTE | Jan 10 2025 |
R-4.3-mac-aarch64 | NOTE | Jan 10 2025 |
Exports:archibestfitbestoptclassmatchcliqueclique.testclustifycompareconfusconsiderdisdiamdisdiam.defaultdisdiam.strideextractextract.strideflexbetagensilwidthgetsetsgetsets.msslambdamaxsimsetmergeclustmss.testmurdochneighboroptimclassoptindvaloptpartoptpart.defaultoptpart.strideoptsiloptsil.defaultoptsil.strideopttdevpartanapartana.defaultpartana.partitionpartana.stridepartitionphiplot.cliqueplot.murdochplot.partanaplot.strideprint.disdiamprint.murdochrefinereordclustsilhouette.clusteringsilhouette.partanasilhouette.strideslicestridesummary.cliquesummary.murdochsummary.partanasummary.tabdevtabdevtabdev.defaulttabdev.stridetestparttypal
Dependencies:clusterlabdsvlatticeMASSMatrixmgcvnlmeplotrixRcppRtsne