R-Shiny Applications for Local Clustering to be Included in the growclusters for R Package

arXiv:2304.06145v2 Announce Type: replace-cross
Abstract: growclusters for R is a package that estimates a partition structure for multivariate data. It does this by implementing a hierarchical version of k-means clustering that accounts for possible known dependencies in a collection of datasets, where each set draws its cluster means from a single, global partition. Each component data set in the collection corresponds to a known group in the data. This paper focuses on R Shiny applications that implement the clustering methodology …

abstract applications arxiv clustering collection cs.lg cs.ms data datasets dependencies hierarchical k-means multivariate package r-shiny set shiny type