shaunpwilkinson/dclust: Divisive Hierarchical Clustering

Contains a single function 'dclust' for divisive hierarchical clustering based on recursive k-means partitioning (k = 2). Useful for clustering large datasets where computation of a n x n distance matrix is not feasible (e.g. n > 10,000 records). For further information see Steinbach M, Karypis G, Kumar V (2000) A Comparison of Document Clustering Techniques. Proceedings of World Text Mining Conference, KDD2000, Boston.

Getting started

Package details

MaintainerShaun Wilkinson <[email protected]>
LicenseGPL-3
Version0.1.0
URL http://github.com/shaunpwilkinson/dclust
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("shaunpwilkinson/dclust")
shaunpwilkinson/dclust documentation built on Nov. 5, 2019, 8:52 a.m.