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2005-10-17Buch DOI: 10.18452/3635
Space Distortion and Monotone Admissibility in Agglomerative Clustering
dc.contributor.authorTakeuchi, Akinobu
dc.contributor.authorYadohisa, Hiroshi
dc.contributor.authorInada, Koichi
dc.date.accessioned2017-06-15T21:38:00Z
dc.date.available2017-06-15T21:38:00Z
dc.date.created2005-10-17
dc.date.issued2005-10-17
dc.identifier.issn1436-1086
dc.identifier.urihttp://edoc.hu-berlin.de/18452/4287
dc.description.abstractThis paper discusses the admissibility of agglomerative hierarchical clustering algorithms with respect to space distortion and monotonicity, as defined by Yadohisa et al. and Batagelj, respectively. Several admissibilities and their properties are given for selecting a clustering algorithm. Necessary and sufficient conditions for an updating formula, as introduced by Lance and Williams, are provided for the proposed admissibility criteria. A detailed explanation of the admissibility of eight popular algorithms is also given.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectmonotonicityeng
dc.subjectadmissibilityeng
dc.subjectAHCA (agglomerative hierarchical clustering algorithm)eng
dc.subjectspace distortioneng
dc.subject.ddc330 Wirtschaft
dc.titleSpace Distortion and Monotone Admissibility in Agglomerative Clustering
dc.typebook
dc.identifier.urnurn:nbn:de:kobv:11-10050664
dc.identifier.doihttp://dx.doi.org/10.18452/3635
local.edoc.container-titleSonderforschungsbereich 373: Quantification and Simulation of Economic Processes
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2001
local.edoc.container-issue78
local.edoc.container-year2001
local.edoc.container-erstkatid2135319-0

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