accuracy

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

adaptation models

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

bipartite network

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:10.3390/systems12090321)

clustering algorithms

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

density‑based spatial clustering

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:10.3390/systems12090321)

economics

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

engineering management

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

flexible electronics industry

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

heuristic algorithms

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

identification

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

image segmentation

Lin, Wenguang, Yan, Wenchao, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2023) Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications. ISSN 1380-7501 (Print), 1573-7721 (Online) (doi:10.1007/s11042-023-16477-5)

industrial clusters

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

industries

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

innovative industrial clusters

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:10.3390/systems12090321)

latent Dirichlet allocation

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:10.3390/systems12090321)

multi-image fusion

Lin, Wenguang, Yan, Wenchao, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2023) Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications. ISSN 1380-7501 (Print), 1573-7721 (Online) (doi:10.1007/s11042-023-16477-5)

patent analysis

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

Zeng, Siping, Wang, Ting, Lin, Wenguang, Chen, Zhizhen (Ryan) ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm. Systems, 12:321. pp. 1-28. ISSN 2079-8954 (Online) (doi:10.3390/systems12090321)

patent image

Lin, Wenguang, Yan, Wenchao, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2023) Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications. ISSN 1380-7501 (Print), 1573-7721 (Online) (doi:10.1007/s11042-023-16477-5)

patents

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

production

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

spatial distribution

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)

support vector machines

Lin, Wenguang, Yan, Wenchao, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2023) Research on product appearance patent spatial shape recognition for multi-image feature fusion. Multimedia Tools and Applications. ISSN 1380-7501 (Print), 1573-7721 (Online) (doi:10.1007/s11042-023-16477-5)

technological innovation

Lin, Wenguang, Wang, Ting, Chen, Zhizhen ORCID: https://orcid.org/0000-0001-6656-5854 and Xiao, Renbin (2024) Data-driven identification of industrial clusters: a patent analysis approach. IEEE Transactions on Engineering Management. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:10.1109/TEM.2024.3493627)