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R-Shiny Applications for Local Clustering to be Included in the growclusters for R Package
May 1, 2024, 4:43 a.m. | Randall Powers, Wendy Martinez, Terrance Savitsky
cs.LG updates on arXiv.org arxiv.org
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
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