Extracting Cell Patterns From High-Dimensional Radio Network Performance Datasets Using Self-Organizing Maps and K-Means Clustering-Reference-Cited by-同舟云学术

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Extracting Cell Patterns From High-Dimensional Radio Network Performance Datasets Using Self-Organizing Maps and K-Means Clustering

Published:2021 Issue: Volume:9 Page:42045-42058
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Shaoxuan,Ferrus Ramon

Funder

Spanish Research Council and FEDER funds through SONAR 5G

European Commission’s Horizon 2020 research and innovation program through the 5G-CLARITY Project

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09376929.pdf?arnumber=9376929

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5. Temporal and Multivariate Similarity Clustering of 5G Performance Data;IEEE Access;2024

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