Wengen Li on Muck Rack

Wengen Li

As seen in: MDPI
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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Hanchen Yang, Wengen Li, Xudong Jiang
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Computer Science > Artificial Intelligence

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By Jiaqi Wang, Wengen Li, Hanchen Yang
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (649) Issue with article?

MuSTC: A Multi-Stage Spatio-Temporal Clustering Method for Uncovering the Regionality of Global SST

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By Han Peng, Wengen Li, Chang Jin, Hanchen Yang
| MDPI
4.2. Results 4.2.1. Results of Regionality Analysis Figure 6 and Figure 7 illustrate the clustering results for the North Pacific Ocean using K-means clustering and Agglomerative clustering, respectively. According to the illustration, the clustering results are generally consistent with the flow directions of the Oyashio Cold Current, N. Pacific Current and Alaska Warm Current. Compared with K-means clustering, the boundary of Agglomerative clustering results is smoother.
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