The growclusters package for R implements an enhanced version of k-means
clustering that allows discovery of local clusterings or partitions for a
collection of data sets that each draw their cluster means from a single,
global partition. The package contains functions to estimate a partition
structure for multivariate data. Estimation is performed under a penalized
optimization derived from Bayesian non-parametric formulations. This paper
describes some of the functions and capabilities of the growclusters package,
including the creation of R Shiny applications designed to visually illustrate
the operation and functionality of the growclusters package.Comment: 10 pages, 6 figures, paper presented at 2022 Joint Statistical
Meeting