Package: caviarpd 0.3.24

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+) <doi:10.1002/sam.11602>.

Authors:David B. Dahl [aut, cre], R. Jacob Andros [aut], J. Brandon Carter [aut], Authors of the dependency Rust crates [ctb]