Data-Driven Identification of Industrial Clusters: A Patent Analysis Approach

Accurate identification of industrial clusters (IIC) serves as a reference for regional economic policymaking and enterprise development decision-making. Although data-driven methods have been extensively used in previous studies to support objective and effective work, both the data sources and res...

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Veröffentlicht in:	IEEE transactions on engineering management 2024, Vol.71, p.15422-15437
Hauptverfasser:	Lin, Wenguang, Wang, Ting, Chen, Zhizhen, Xiao, Renbin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptation models Clustering algorithms Economics Engineering management Flexible electronics industry Heuristic algorithms identification industrial clusters Industries patent analysis Production spatial distribution Technological innovation
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