Research on data visualization technology of logistics distribution system based on clustering algorithm
Authors: 
Meng Huang, Shuai Liu, Jinglei LinAuthors Info & Claims
Meng Huang, Shuai Liu, Jinglei LinAuthors Info & ClaimsPages 114 - 120
Abstract
This paper takes the logistics distribution record of Yifeng Weiye Group for the past two years as the basic research unit. By exploring the relationship between data fields, we use the idea of adaptive clustering algorithm and spatial clustering analysis to process the attribute data of transportation capacity[8]. Basing on the obtained clustering results, we use Python and PHP technology to optimize the distribution area, and finally design an effective visual expression method to obtain the traffic situation knowledge. We can provide relevant analysis and technical support for enterprises to improve the efficiency of distribution logistics and optimize the structure of the industrial chain.
References
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Kulczycki P, Charytanowicz M, and Kowalski P A, et al, Exemplary applications of the complete gradient clustering algorithm in bioinformatics, management and engineering{M}, Issues and Challenges of Intelligent Systems and Computational Intelligence, Springer International Publishing, 2014: 119--132.
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Yu S S, Chu S W, and Wang C L, et al, A modified K-means algorithms-Bi-Level K-means algorithm{C}. 2nd International Conference on Soft Computing in Information Communication Technology. Atlantis Press, 2014.
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- Research on data visualization technology of logistics distribution system based on clustering algorithm
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Published In
February 2019
151 pages
ISBN:9781450360920
DOI:10.1145/3313950
- Conference Chairs:
- Xudong Jiang,
- Lipo Wang,
- Program Chairs:
- Nobuhiko Mukai,
- Lih-Shyang Chen
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 February 2019
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ICIGP 2019
ICIGP 2019: 2019 2nd International Conference on Image and Graphics Processing
February 23 - 25, 2019
Singapore, Singapore
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