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Improved exploration with dimensional weight manipulation in Radviz
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dc.contributor.authorHan, Hyunwoo-
dc.contributor.authorYoon, Taerin-
dc.contributor.authorGong, Hyeonsik-
dc.contributor.authorLee, Kyungwon-
dc.date.issued2018-08-13-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36325-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055588015&origin=inward-
dc.description.abstractRadViz is one of the most commonly used radial visualization techniques, and it can easily grasp the distribution of multidimensional data. RadViz projects multidimensional data onto a plane using a spring-force analogy. In this paper, we discuss the interactive visualization system of a RadViz that helps users analyze multidimensional data from various perspectives by allowing them to change the locations of the dimension anchors and the forces between the data and the dimension anchors.-
dc.language.isoeng-
dc.publisherAssociation for Computing Machinery-
dc.subject.meshA-plane-
dc.subject.meshDimensional clustering-
dc.subject.meshHigh dimensional data-
dc.subject.meshInteractive visualization systems-
dc.subject.meshMultidimensional data-
dc.subject.meshRadial visualization-
dc.subject.meshRadViz-
dc.titleImproved exploration with dimensional weight manipulation in Radviz-
dc.typeConference-
dc.citation.conferenceDate2018.8.13. ~ 2018.8.15.-
dc.citation.conferenceName11th International Symposium on Visual Information Communication and Interaction, VINCI 2018-
dc.citation.editionVINCI 2018 - 11th International Symposium on Visual Information Communication and Interaction-
dc.citation.endPage119-
dc.citation.startPage118-
dc.citation.titleACM International Conference Proceeding Series-
dc.identifier.bibliographicCitationACM International Conference Proceeding Series, pp.118-119-
dc.identifier.doi10.1145/3231622.3232507-
dc.identifier.scopusid2-s2.0-85055588015-
dc.identifier.urlhttp://portal.acm.org/-
dc.subject.keywordData visualization-
dc.subject.keywordDimensional clustering-
dc.subject.keywordHigh-dimensional data-
dc.subject.keywordRadial visualization-
dc.subject.keywordRadViz-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaSoftware-
dc.subject.subareaHuman-Computer Interaction-
dc.subject.subareaComputer Vision and Pattern Recognition-
dc.subject.subareaComputer Networks and Communications-
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