Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Research on K-means clustering algorithm and its implementation

Authors
Jianming Cui, Jianming Liu, Zhouyu Liao
Corresponding Author
Jianming Cui
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.452How to use a DOI?
Keywords
K-means, Clustering center, Data mining, algorithm.
Abstract

K-means algorithm is a kind of clustering analysis based on partition algorithm, it through constant iteration to clustering, when algorithm converges to an end conditions, and the output iterative process termination clustering results. Because its algorithm is simple, and easy to realize thoughts of large-scale data clustering, so k-means algorithm has become one of the most commonly used one of the clustering algorithm. K-means algorithm can find about clustering error local optimal solution, be applied in many clustering on the question of the rapid iteration algorithm. In this paper, we deeply research and analysis of the K-means clustering algorithm in the cluster analysis and analysis of its advantages and disadvantage, finally, we implement the K-means and do an experiment for application.

Copyright
© 2013, 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 International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.452How to use a DOI?
Copyright
© 2013, 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  - Jianming Cui
AU  - Jianming Liu
AU  - Zhouyu Liao
PY  - 2013/03
DA  - 2013/03
TI  - Research on K-means clustering algorithm and its implementation
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1804
EP  - 1806
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.452
DO  - https://doi.org/10.2991/iccsee.2013.452
ID  - Cui2013/03
ER  -