Sieger, Tomas and Hurley, Catherine B. and Fiser, Karel and Beleites, Claudia (2017) Interactive Dendrograms: The R Packages idendro and idendr0. Journal of Statistical Software, 76 (10). pp. 1-22. ISSN 1548-7660

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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.

Item Type:	Article
Keywords:	interactive graphics; visualization; cluster analysis; exploratory data analysis; highdimensional data; R.;
Academic Unit:	Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	11566
Identification Number:	https://doi.org/10.18637/jss.v076.i10
Depositing User:	Dr. Catherine Hurley
Date Deposited:	01 Nov 2019 16:52
Journal or Publication Title:	Journal of Statistical Software
Publisher:	Foundation for Open Access Statistics
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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