Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)

Mixed clustering algorithm with artificial fish swarm and improved K-means

Authors
Hao Yang
Corresponding Author
Hao Yang
Available Online May 2016.
DOI
10.2991/itoec-16.2016.40How to use a DOI?
Keywords
clustering algorithm, artificial fish swarm, K-means
Abstract

In allusion to increase the speed and accuracy rate of clustering algorithm, the paper proposes mixed clustering algorithm with artificial fish swarm and improved K-means. Firstly, it leads artificial fish swarm algorithm to clustering algorithm and proposes artificial fish swarm clustering algorithm. Secondly, it improves traditional K-means algorithm and gives improved K-means algorithm. Finally, it gets mixed clustering algorithm with artificial fish swarm and K-means.

Copyright
© 2016, 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 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-178-0
ISSN
2352-5401
DOI
10.2991/itoec-16.2016.40How to use a DOI?
Copyright
© 2016, 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  - Hao Yang
PY  - 2016/05
DA  - 2016/05
TI  - Mixed clustering algorithm with artificial fish swarm and improved K-means
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 226
EP  - 229
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.40
DO  - 10.2991/itoec-16.2016.40
ID  - Yang2016/05
ER  -