Proceedings of the 2016 International Conference on Engineering and Advanced Technology

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Research on clustering algorithm

Authors
Rui Wang, Jinguo Wang, Na Wang
Corresponding Author
Rui Wang
Available Online May 2016.
DOI
10.2991/iceat-16.2017.4How to use a DOI?
Keywords
Clustering algorithm, Minkowski distance, Data mining
Abstract

Clustering is one of the important techniques of data mining. It can be divided data into several classes or clusters according to certain rules, which makes the data objects of the same class have high similarity, and the different data objects are very different. In this paper, the clustering algorithm is analyzed and compared in detail, and summarize advantages and disadvantages of this algorithm.

Copyright
© 2017, 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 2016 International Conference on Engineering and Advanced Technology
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-294-7
ISSN
2352-5401
DOI
10.2991/iceat-16.2017.4How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Rui Wang
AU  - Jinguo Wang
AU  - Na Wang
PY  - 2016/05
DA  - 2016/05
TI  - Research on clustering algorithm
BT  - Proceedings of the 2016 International Conference on Engineering and Advanced Technology
PB  - Atlantis Press
SP  - 14
EP  - 17
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceat-16.2017.4
DO  - 10.2991/iceat-16.2017.4
ID  - Wang2016/05
ER  -