Interactive Dendrograms: The R Packages idendro and idendr0

dc.bibliographicCitation.firstPage1eng
dc.bibliographicCitation.issue10eng
dc.bibliographicCitation.journalTitleJournal of Statistical Softwareeng
dc.bibliographicCitation.volume76eng
dc.contributor.authorSieger, Tomáš
dc.contributor.authorHurley, Catherine B.
dc.contributor.authorFiser, Karel
dc.contributor.authorBeleites, Claudia
dc.date.accessioned2019-12-19T10:53:40Z
dc.date.available2019-12-19T10:53:40Z
dc.date.issued2017
dc.description.abstractHierarchical 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.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://doi.org/10.34657/5130
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/4714
dc.language.isoengeng
dc.publisherLos Angeles : Foundation for Open Access Statisticseng
dc.relation.doihttps://doi.org/10.18637/jss.v076.i10
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subject.ddc004eng
dc.subject.otherinteractive graphics, visualization, cluster analysis, exploratory data analysis, highdimensional data, Reng
dc.titleInteractive Dendrograms: The R Packages idendro and idendr0eng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorIPHTeng
wgl.subjectIngenieurwissenschafteneng
wgl.typeZeitschriftenartikeleng
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