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

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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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  -