Clustering of Attribute and/or Relational Data

A large class of clustering problems can be formulated as an optimizational problem in which the best clustering is searched for among all feasible clustering according to a selected criterion function. This clustering approach can be applied to a variety of very interesting clustering problems, as...

Full description

Saved in:
Bibliographic Details
Published in:Metodološki zvezki (Spletna izd.) Vol. 6; no. 2; p. 135
Main Authors: Ferligoj, Anuska, Kronegger, Luka
Format: Journal Article
Language:English
Published: Ljubljana Anuska Ferligoj 01.07.2009
Subjects:
Cluster analysis
Data analysis
ISSN:1854-0023, 1854-0031
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract A large class of clustering problems can be formulated as an optimizational problem in which the best clustering is searched for among all feasible clustering according to a selected criterion function. This clustering approach can be applied to a variety of very interesting clustering problems, as it is possible to adapt it to a concrete clustering problem by an appropriate specification of the criterion function and/or by the definition of the set of feasible clusterings. Both, the blockmodeling problem (clustering of the relational data) and the clustering with relational constraint problem (clustering of the attribute and relational data) can be very successfully treated by this approach. It also opens many new developments in these areas. The paired clustering approaches are applied to the Slovenian scientific collaboration data. [PUBLICATION ABSTRACT]
AbstractList A large class of clustering problems can be formulated as an optimizational problem in which the best clustering is searched for among all feasible clustering according to a selected criterion function. This clustering approach can be applied to a variety of very interesting clustering problems, as it is possible to adapt it to a concrete clustering problem by an appropriate specification of the criterion function and/or by the definition of the set of feasible clusterings. Both, the blockmodeling problem (clustering of the relational data) and the clustering with relational constraint problem (clustering of the attribute and relational data) can be very successfully treated by this approach. It also opens many new developments in these areas. The paired clustering approaches are applied to the Slovenian scientific collaboration data. [PUBLICATION ABSTRACT]
Author Kronegger, Luka
Ferligoj, Anuska
Author_xml – sequence: 1
  givenname: Anuska
  surname: Ferligoj
  fullname: Ferligoj, Anuska
– sequence: 2
  givenname: Luka
  surname: Kronegger
  fullname: Kronegger, Luka
BookMark eNo9jl1LwzAYhYNs4Nx24T8IeN3tTdN8XY6qUxgIsvuRvE1GS2m0Sb3w11tQ5Fyc5-LwcO7IYoiDJ-SewU4ww-X--vXdSWPMDVkxLaoCgLPFP5f8lmxT6mBGw6HSZkV2dT-l7Md2uNIY6CHnsXVT9tQOzT6O9N33NrdxsD19tNluyDLYPvntX6_J-fnpXL8Up7fja304FWiUKQKg0FYw4KilqJxxSmEIVqG0ZWiUQIvOSQlOVaixlPNIiQZEhXNK5Gvy8Kv9GOPn5FO-dHEa5xPpMkuVBlVKxX8AQiJF3Q
ContentType Journal Article
Copyright Copyright Anuska Ferligoj 2009
Copyright_xml – notice: Copyright Anuska Ferligoj 2009
DBID 3V.
7XB
8FK
8G5
ABUWG
AFKRA
AZQEC
BENPR
BYOGL
CCPQU
DWQXO
GNUQQ
GUQSH
M2O
MBDVC
PADUT
PHGZM
PHGZT
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
Q9U
DOI 10.51936/gvzj6999
DatabaseName ProQuest Central (Corporate)
ProQuest Central (purchase pre-March 2016)
ProQuest Central (Alumni) (purchase pre-March 2016)
Research Library (Alumni)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central Database Suite (ProQuest)
East Europe, Central Europe Database (ProQuest)
ProQuest One Community College
ProQuest Central Korea
ProQuest Central Student
ProQuest Research Library
Research Library (ProQuest)
Research Library (Corporate)
Research Library China
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
DatabaseTitle Research Library Prep
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Basic
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
East Europe, Central Europe Database
ProQuest Central (Alumni Edition)
ProQuest One Community College
Research Library (Alumni Edition)
ProQuest Central China
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Research Library
Research Library China
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
DatabaseTitleList Research Library Prep
Database_xml – sequence: 1
  dbid: BYOGL
  name: East Europe, Central Europe Database (ProQuest)
  url: https://search.proquest.com/eastcentraleurope
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Applied Sciences
EISSN 1854-0031
ExternalDocumentID 2751526401
GroupedDBID 3V.
7XB
8FK
8G5
ABDBF
ABUWG
ACUHS
AFKRA
ALMA_UNASSIGNED_HOLDINGS
AMVHM
AZQEC
BENPR
BYOGL
CCPQU
DWQXO
ESX
GNUQQ
GUQSH
M2O
MBDVC
PADUT
PHGZM
PHGZT
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
Q9U
TUS
ID FETCH-LOGICAL-c979-f0c58a5103c8654b9b77cffa7c6a2fd75cacbb660b74c8c2665475d054c4c42c3
IEDL.DBID BENPR
ISSN 1854-0023
IngestDate Mon Jun 30 04:56:18 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 2
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c979-f0c58a5103c8654b9b77cffa7c6a2fd75cacbb660b74c8c2665475d054c4c42c3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://mz.mf.uni-lj.si/article/download/96/88
PQID 1037807267
PQPubID 1396367
ParticipantIDs proquest_journals_1037807267
PublicationCentury 2000
PublicationDate 20090701
PublicationDateYYYYMMDD 2009-07-01
PublicationDate_xml – month: 07
  year: 2009
  text: 20090701
  day: 01
PublicationDecade 2000
PublicationPlace Ljubljana
PublicationPlace_xml – name: Ljubljana
PublicationTitle Metodološki zvezki (Spletna izd.)
PublicationYear 2009
Publisher Anuska Ferligoj
Publisher_xml – name: Anuska Ferligoj
SSID ssj0002930489
Score 1.7059958
Snippet A large class of clustering problems can be formulated as an optimizational problem in which the best clustering is searched for among all feasible clustering...
SourceID proquest
SourceType Aggregation Database
StartPage 135
SubjectTerms Cluster analysis
Data analysis
Title Clustering of Attribute and/or Relational Data
URI https://www.proquest.com/docview/1037807267
Volume 6
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NTwMhECW29eDF-hk_asPBK3alLCwnU2sbL9bG9NBbAwNrNGZXu9se_PXCLtWDiRfDkYQQGOa9zAzzELoUOqYiBUrstaWEKaXdm2OC2L7mkQUTgTWV2ISYTJL5XE5DwK0IZZUbn1g5apODj5H3_H-2JBKUi5v3D-JVo3x2NUhoNFDLdypzdt66HU2mT99RFgdmzkQ9B3a4xIhHqLq9kCcuvPe8_nzlUspfjrhCl3H7v_vaQ7uBV-JBbQj7aMtmB6gdOCYOL7g4RFfDt5XvjeAQC-cpHpS14pXFKjO9fIk3xXFurTtVqiM0G49mw3sSNBMISCFJGkGcKN8lDxIeMy21EJCmSgBXNDUiBgVacx5pwSABWmkPx8bxNnCDQv8YNbM8sycISyO5YdoKAMaU8fk_zhIqWSyZ5n19ijqbA1kEuy8WP6dx9vf0Odqp8zK-8LWDmuVyZS_QNqzLl2LZDdfYRY0H-vgFpV-oOw
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LTwIxEJ4gmuhFfMYH6h70uLKWbrs9GENAAgHRAwdupJ12jcaA8jL6n_yPtvvQg4k3D6bHJk0zncfXznQ-gFOuQsJjJL65MMSnUiprc5T7pqpYYFAHaHRCNsF7vWgwEHcF-Mj_wriyytwnJo5aj9G9kVfcf7Yo4ITxq-cX37FGuexqTqGRqkXHvL3aK9v0st2w53tGSPO6X2_5GauAj4ILPw4wjKTrI4cRC6kSinOMY8mRSRJrHqJEpRgLFKcYIUnYeUNtkQ3aQbBql12CZeouQq5SkNx-PenYyGntwQFuGwSp78Jh2svIoSRWuV-8PzIhxA-vn4SyZumfCWED1jPM7NVSJd-EghltQSnDz17mnabbcF5_mru-DzYae-PYq81SNi_jyZGujCdeXvhn12rImdyB_l9seheKo_HI7IEntGCaKsMRKZXa5TYZjYigoaCKVdU-lHP5DzObng6_hX_w-_QJrLb6N91ht93rHMJamn9yBb5lKM4mc3MEK7iYPUwnx4n-eDD846P6BAVhAoA
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LSwMxEB5qK-LF-sRH1T3oce2aZpPNQaT2gaVSivTQW0kmWVGk1b5E_5n_zqS7qwfBWw-yx4UQdh7ft5nJfABnXIWEx0h8c2mIT6VUNuYo901FscCgDtDohdgE73Sifl90c_CZ3YVxbZVZTlwkaj1Cd0ZedvfZooATxstx2hbRrTevX159pyDlKq2ZnEbiIm3z_mZ_3yZXrbq19TkhzUavduunCgM-Ci78OMAwkm6mHEYspEoozjGOJUcmSax5iBKVYixQnGKEZKHUG2rLctA-BCt22RUocMsxaB4KN41O9_77gMfiqI0OR78tJFLfgWMy2chxJlZ-mH88MSHELwxYAFuz-I8_ySZspGzaqybuvwU5M9yGYsqsvTRvTXbgovY8cxMhLE57o9irThOdL-PJoS6Pxl7WEmjXqsup3IXeMja9B_nhaGj2wRNaME2V4YiUSu2qnoxGRNBQUMUq6gBKmS0GabRPBj-GOPz79SmsWQsN7lqd9hGsJ4Up1_lbgvx0PDPHsIrz6eNkfJI6kweDJdvqC27eDJ0
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Clustering+of+Attribute+and%2For+Relational+Data&rft.jtitle=Metodolo%C5%A1ki+zvezki+%28Spletna+izd.%29&rft.au=Ferligoj%2C+Anuska&rft.au=Kronegger%2C+Luka&rft.date=2009-07-01&rft.pub=Anuska+Ferligoj&rft.issn=1854-0023&rft.eissn=1854-0031&rft.volume=6&rft.issue=2&rft.spage=135&rft_id=info:doi/10.51936%2Fgvzj6999&rft.externalDBID=HAS_PDF_LINK&rft.externalDocID=2751526401
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1854-0023&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1854-0023&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1854-0023&client=summon