flexclust: Flexible Cluster Algorithms

The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.

Getting started

Package details

AuthorFriedrich Leisch [aut, cre] (<https://orcid.org/0000-0001-7278-1983>), Evgenia Dimitriadou [ctb], Bettina Gruen [aut] (<https://orcid.org/0000-0001-7265-4773>)
MaintainerFriedrich Leisch <Friedrich.Leisch@R-project.org>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

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flexclust documentation built on May 2, 2019, 10:59 a.m.