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AuthorAlbalate, Amparodc.contributor.author
AuthorSuendermann, Daviddc.contributor.author
AuthorMinker, Wolfgangdc.contributor.author
Date of accession2020-04-03T09:39:28Zdc.date.accessioned
Available in OPARU since2020-04-03T09:39:28Zdc.date.available
Date of first publication2011dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordClusterdc.subject
Keywordvalidationdc.subject
Keywordquantiledc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
TitleOn cluster validation for detecting the number of clusters in a data setdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Nachrichtentechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1142/S0218213011000334dc.identifier.doiExternal
Source - Title of sourceInternational journal on artificial intelligence toolssource.title
Source - Place of publicationWorld Scientific Publ.source.publisher
Source - Volume20source.volume
Source - Issue5source.issue
Source - Year2011source.year
Source - From page941source.fromPage
Source - To page953source.toPage
Source - ISSN0218-2130source.identifier.issn
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000296627400006uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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