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A K-means-like algorithm for informetric data clustering

Cena, Anna and Gagolewski, Marek 2015, A K-means-like algorithm for informetric data clustering, in IFSA and EUSFLAT 2019 : Proceedings of the 2015 Combined Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, Atlantis Press, Paris, France, pp. 536-543, doi: 10.2991/ifsa-eusflat-15.2015.77.

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Title A K-means-like algorithm for informetric data clustering
Author(s) Cena, Anna
Gagolewski, MarekORCID iD for Gagolewski, Marek orcid.org/0000-0003-0637-6028
Conference name International Fuzzy Systems Association and European Society for Fuzzy Logic and Technology. Combined Conference (16th and 9th : 2015, Gijon, Spain)
Conference location Gijon, Spain
Conference dates 30 June - 03 July 2015
Title of proceedings IFSA and EUSFLAT 2019 : Proceedings of the 2015 Combined Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Editor(s) Alonso, JM
Bustince, H
Reformat, M
Publication date 2015
Series Advances in Intelligent Systems Research
Start page 536
End page 543
Total pages 8
Publisher Atlantis Press
Place of publication Paris, France
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
k-means clustering
informetrics
aggregation
impact functions
ISBN 9789462520776
ISSN 1951-6851
Language eng
DOI 10.2991/ifsa-eusflat-15.2015.77
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30130799

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.