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2017-07-04Diskussionpapier DOI: 10.18452/18715
Adaptive weights clustering of research papers
dc.contributor.authorAdamyan, Larisa
dc.contributor.authorEfimov, Kirill
dc.contributor.authorChen, Cathy Yi-Hsuan
dc.contributor.authorHärdle, Wolfgang K.
dc.date.accessioned2018-01-15T15:13:45Z
dc.date.available2018-01-15T15:13:45Z
dc.date.issued2017-07-04
dc.identifier.urihttp://edoc.hu-berlin.de/18452/19426
dc.description.abstractThe JEL classification system is a standard way of assigning key topics to economic articles in order 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 a Collaborative Research Center from Humboldt-Universit¨at zu Berlin and Xiamen University, China we employ a new adaptive clustering technique to identify interpretable JEL (sub)clusters. The proposed Adaptive Weights Clustering (AWC) is available on 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.ger
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin
dc.subjectClusteringeng
dc.subjectJEL systemeng
dc.subjectAdaptive algorithmeng
dc.subjectEconomic articleseng
dc.subjectNonparametriceng
dc.subject.ddc330 Wirtschaft
dc.titleAdaptive weights clustering of research papers
dc.typeworkingPaper
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/19426-9
dc.identifier.doihttp://dx.doi.org/10.18452/18715
local.edoc.container-titleSonderforschungsbereich 649: Ökonomisches Risiko
local.edoc.pages17
local.edoc.type-nameDiskussionpapier
local.edoc.institutionWirtschaftswissenschaftliche Fakultät
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2017
local.edoc.container-issue13
local.edoc.container-erstkatid2195055-6

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