Paper
19 December 2021 Design of enterprise management system based on cluster algorithm
Juan Wang
Author Affiliations +
Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 121281A (2021) https://doi.org/10.1117/12.2625247
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China
Abstract
At present, the supplier management of small and medium-sized enterprises mostly lacks detailed classification and rigorous evaluation. In the face of this phenomenon, on the basis of understanding the specific work of supplier management, this paper proposes the K-means algorithm with adaptive attribute optimization as the core by rectifying the traditional K-means algorithm. By integrating the design and analysis of the actual enterprise management system, it can be seen that the improved K-means algorithm has a higher accuracy rate than the previous application.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan Wang "Design of enterprise management system based on cluster algorithm", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 121281A (19 December 2021); https://doi.org/10.1117/12.2625247
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KEYWORDS
Algorithm development

Analytical research

Optimization (mathematics)

Astatine

Databases

Java

Computer architecture

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