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Visualization of Bottleneck Distances for \linebreak Persistence Diagram

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dc.contributor.author조규동-
dc.contributor.author이은지-
dc.contributor.authorTaehee Seo-
dc.contributor.author김광래-
dc.contributor.author구자용-
dc.date.accessioned2021-09-07T00:57:29Z-
dc.date.available2021-09-07T00:57:29Z-
dc.date.created2021-06-17-
dc.date.issued2012-
dc.identifier.issn1225-066X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/109670-
dc.description.abstractPersistence homology (a type of methodology in computational algebraic topology) can be used to capture the topological characteristics of functional data. To visualize the characteristics, a persistence diagram is adopted by plotting baseline and the pairs that consist of local minimum and local maximum. We use the bottleneck distance to measure the topological distance between two different functions; in addition, this distance can be applied to multidimensional scaling(MDS) that visualizes the imaginary position based on the distance between functions. In this study, we use handwriting data (which has functional forms) to get persistence diagram and check differences between the observations by using bottleneck distance and the MDS.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국통계학회-
dc.titleVisualization of Bottleneck Distances for \linebreak Persistence Diagram-
dc.title.alternativeVisualization of Bottleneck Distances for \linebreak Persistence Diagram-
dc.typeArticle-
dc.contributor.affiliatedAuthor구자용-
dc.identifier.bibliographicCitation응용통계연구, v.25, no.6, pp.1009 - 1018-
dc.relation.isPartOf응용통계연구-
dc.citation.title응용통계연구-
dc.citation.volume25-
dc.citation.number6-
dc.citation.startPage1009-
dc.citation.endPage1018-
dc.type.rimsART-
dc.identifier.kciidART001729164-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorMultidimensional scaling(MDS)-
dc.subject.keywordAuthorpersistent homology-
dc.subject.keywordAuthorpersistence diagram-
dc.subject.keywordAuthorbottleneck distance-
dc.subject.keywordAuthorfunctional data-
dc.subject.keywordAuthortopology-
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