Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

A K-means-like algorithm for informetric data clustering

Authors
Anna Cena, Marek Gagolewski
Corresponding Author
Anna Cena
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.77How to use a DOI?
Keywords
K-means clustering, informetrics, aggregation, impact functions.
Abstract

The K-means algorithm is one of the most often used clustering techniques. However, when it comes to discovering clusters in informetric data sets that consist of non-increasingly ordered vectors of not necessarily conforming lengths, such a method cannot be applied directly. Hence, in this paper, we propose a K-means-like algorithm to determine groups of producers that are similar not only with respect to the quality of information resources they output, but also their quantity.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.77How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Anna Cena
AU  - Marek Gagolewski
PY  - 2015/06
DA  - 2015/06
TI  - A K-means-like algorithm for informetric data clustering
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 536
EP  - 543
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.77
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.77
ID  - Cena2015/06
ER  -