Research on Visualization Technology of Data Mining Based on RD-SOM (Radar-Self-Organizing Map) Clustering Algorithm
With the continuous development of data storage, analysis, processing and other technologies, people are eager to visualize the mining process of complex data, and data mining visualization technology is gradually applied to all fields of society, which greatly improves the efficiency of data mining [1]. The author starts with data visualization technology, studies data preprocessing and algorithms, and proposes data mining visualization technology of RD-SOM clustering algorithm by analyzing the existing problems in the current SOM clustering algorithm, so as to improve the current algorithm and obtain higher data utilization rate.
Authors
- Yiyuan Mai (ORCID: https://orcid.org/0000-0001-5975-1149)
- Shasha Qin (ORCID: https://orcid.org/0009-0003-7332-513X)
- Bing Ma
- Dongsheng Li (ORCID: https://orcid.org/0000-0002-1030-146X)
- Xiaotan Liu
Institutions
- Chinese PLA General Hospital (CN)
- Hainan General Hospital (CN)
- PLA Army Engineering University (CN)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/cbase64041.2024.10824378
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00