Interactive Dendrograms: The R Packages idendro and idendr0

Tomáš Sieger, Catherine B. Hurley, Karel Fišer and Claudia Beleites

Journal of Statistical Software, 2017, vol. 076, issue i10

Abstract: Hierarchical cluster analysis is a valuable tool for exploring data by describing their structure using a dendrogram. However, proper visualization and interactive inspection of the dendrogram are needed to unlock the information in the data. We describe a new R package, idendro, that enables the user to inspect dendrograms interactively: to select and color clusters, to zoom and pan the dendrogram, and to visualize the clustered data not only in a built-in heat map, but also in any interactive plot implemented in the cranvas package. A lightweight version idendr0 with reduced dependencies is also available from the Comprehensive R Archive Network.

Date: 2017-02-27
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v076i10/v76i10.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... idendro_1.5.3.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... idendr0_1.5.3.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v076i10/v76i10.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:076:i10

DOI: 10.18637/jss.v076.i10

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().