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2020-02-20Zeitschriftenartikel DOI: 10.18452/23694
Adaptive weights clustering of research papers
dc.contributor.authorAdamyan, Larisa
dc.contributor.authorEfimov, Kirill
dc.contributor.authorChen, Cathy Y.
dc.contributor.authorHärdle, Wolfgang Karl
dc.date.accessioned2021-11-23T15:08:20Z
dc.date.available2021-11-23T15:08:20Z
dc.date.issued2020-02-20none
dc.identifier.other10.1007/s42521-020-00017-z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/24356
dc.description.abstractThe JEL classification system is a standard way of assigning key topics to economic articles to make them more easily retrievable in the bulk of nowadays massive literature. Usually the JEL (Journal of Economic Literature) is picked by the author(s) bearing the risk of suboptimal assignment. Using the database of the Collaborative Research Center from Humboldt-Universität zu Berlin we employ a new adaptive clustering technique to identify interpretable JEL (sub)clusters. The proposed Adaptive Weights Clustering (AWC) is available on http://www.quantlet.de/ and is based on the idea of locally weighting each point (document, abstract) in terms of cluster membership. Comparison with k-means or CLUTO reveals excellent performance of AWC.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectClusteringeng
dc.subjectJEL systemeng
dc.subjectAdaptive algorithmeng
dc.subjectEconomic articleseng
dc.subjectNonparametriceng
dc.subject.ddc330 Wirtschaftnone
dc.titleAdaptive weights clustering of research papersnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/24356-3
dc.identifier.doihttp://dx.doi.org/10.18452/23694
dc.type.versionpublishedVersionnone
local.edoc.container-titleDigital financenone
local.edoc.pages19none
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionWirtschaftswissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameSpringer Nature Switzerland AGnone
local.edoc.container-publisher-placeChamnone
local.edoc.container-volume2none
local.edoc.container-issue3-4none
local.edoc.container-firstpage169none
local.edoc.container-lastpage187none
dc.description.versionPeer Reviewednone
dc.identifier.eissn2524-6186

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