Constructing a Multidimensional Abnormal Data Feature Library under Clustering Algorithm and Improving the Quality of Electric Power Data-Reference-Cited by-同舟云学术

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Constructing a Multidimensional Abnormal Data Feature Library under Clustering Algorithm and Improving the Quality of Electric Power Data

Published:2024-05-24 Issue: Volume:45 Page:961-965
ISSN:
Container-title:2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Gao Chen¹,Yan Shenteng¹,Xu Qiong²,Liu Zuanbin²

Affiliation:

1. State Grid Fujian Electric Power Co. Ltd.,Marketing Service Center,Fuzhou,China,350001

2. State Grid Information Communication Yili Technology Co., Ltd,Fuzhou,China,350001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593799/10594004/10594203.pdf?arnumber=10594203

Reference20 articles.

1. Adaptive density peak clustering algorithm based on artificial fish schools [J];Kailin;Computer Engineering and Design,2024

2. A clustering algorithm for portraits of potentially sensitive users of electricity based on genetically optimized neural networks [J];Hailong;Microcomputer application,2024

3. An entropy feature transformation FCM clustering algorithm for classified data [J];Jinsheng;Digital Technology and Applications,2024

4. A clustering algorithm based on fluorescence information navigation [J];Yuefei;Computer Applied Research,2024

5. Differential privacy clustering algorithm in horizontal federal learning [J];Xueran;Computer applications,2024

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