caviarpd
Cluster Analysis via Random Partition Distributions
Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+)
- Version0.3.13
- R version≥ 4.2.0
- LicenseMIT
- Licensefile LICENSE
- LicenseApache License 2.0
- Needs compilation?Yes
- Last release09/06/2024
Documentation
Team
David B. Dahl
R. Jacob Andros
J. Brandon Carter
Alex Crichton
Show author detailsRolesContributorBrendan Zabarauskas
Show author detailsRolesContributorDavid Tolnay
Show author detailsRolesContributorJim Turner
Show author detailsRolesContributorJorge Aparicio
Show author detailsRolesContributorJosh Stone
Show author detailsRolesContributorMikhail Vorotilov
Show author detailsRolesContributorR. Janis Goldschmidt
Show author detailsRolesContributorSean McArthur
Show author detailsRolesContributorStefan Lankes
Show author detailsRolesContributorThe Cranelift Project Developers
Show author detailsRolesContributorThe CryptoCorrosion Contributors
Show author detailsRolesContributorThe Rand Project Developers
Show author detailsRolesContributorThe Rust Project Developers
Show author detailsRolesContributorUlrik Sverdrup "bluss"
Show author detailsRolesContributorbluss
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