iStar (i*): An interactive star coordinates approach for high-dimensional data exploration

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dc.contributor.authorGarcia Zanabria, Germain
dc.contributor.authorNonato, Luis
dc.contributor.authorGómez Nieto, Erick Mauricio
dc.date.accessioned2019-01-29T22:19:53Z
dc.date.available2019-01-29T22:19:53Z
dc.date.issued2016
dc.description.abstractStar Coordinates is an important visualization method able to reveal patterns and groups from multidimensional data while still showing the impact of data attributes in the formation of such patterns and groups. Despite its usefulness, Star Coordinates bears limitations that impair its use in several scenarios. For instance, when the number of data dimensions is high, the resulting visualization becomes cluttered, hampering the joint analysis of attribute importance and group/pattern formation. In this paper, we propose a novel method that renders Star Coordinates a feasible alternative to analyze high-dimensional data. The proposed method relies on a clustering mechanism to group attributes in order to mitigate visual clutter. Clustering can be performed automatically as well as interactively, allowing the analysis of how particular groups of attributes impact on the radial layout, thus assisting users in the understanding of data. The effectiveness of our approach is shown through a set of experiments and case studies, which attest its usefulness in practical applications. © 2016 Elsevier Ltdes_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1016/j.cag.2016.08.007es_PE
dc.identifier.issn978493es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15828
dc.language.isoenges_PE
dc.publisherElsevier Ltdes_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84992412635&doi=10.1016%2fj.cag.2016.08.007&partnerID=40&md5=a833c474925dca59b7abd7030b0d5fafes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectClustering algorithmses_PE
dc.subjectFlow visualizationes_PE
dc.subjectVisualizationes_PE
dc.subjectAttribute importancees_PE
dc.subjectClustering mechanismes_PE
dc.subjectExperiments and case studieses_PE
dc.subjectFeasible alternativeses_PE
dc.subjectHigh dimensional dataes_PE
dc.subjectMultidimensional dataes_PE
dc.subjectStar coordinateses_PE
dc.subjectVisualization methodes_PE
dc.subjectData visualizationes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleiStar (i*): An interactive star coordinates approach for high-dimensional data explorationes_PE
dc.typeinfo:eu-repo/semantics/article
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