Research and Implementation of Hybrid Clustering Algorithm in Big Data Processing

DOI

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.

Copyright

© 2018, 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  - Yan Hou
PY  - 2018/12
DA  - 2018/12
TI  - Research and Implementation of Hybrid Clustering Algorithm in Big Data Processing
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 336
EP  - 343
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.54
DO  - 10.2991/tlicsc-18.2018.54
ID  - Hou2018/12
ER  -