Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research and Implementation of Hybrid Clustering Algorithm in Big Data Processing

Authors
Yan Hou
Corresponding Author
Yan Hou
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.54How to use a DOI?
Keywords
big data; hybrid; data mining; clustering algorithm.
Abstract
With the advent of the era of big data, data analysis and processing has become a hot topic of research, and data mining has become a top priority. Based on the discussion of clustering algorithm, this paper proposes a hybrid clustering algorithm. The algorithm solves the dilemma of relying too much on the initial center and falling into local optimum. The experimental results demonstrate the effectiveness and feasibility of the hybrid clustering algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.54How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yan Hou
PY  - 2018/12
DA  - 2018/12
TI  - Research and Implementation of Hybrid Clustering Algorithm in Big Data Processing
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.54
DO  - https://doi.org/10.2991/tlicsc-18.2018.54
ID  - Hou2018/12
ER  -