A Data-Driven Iterative Multi-Attribute Clustering Algorithm and Its Application in Port Congestion Estimation-Reference-Cited by-同舟云学术

A Data-Driven Iterative Multi-Attribute Clustering Algorithm and Its Application in Port Congestion Estimation

Author:

Bai Xiwen¹^ORCID,Ma Zhongjun¹^ORCID,Hou Yao¹,Li Yiliang²^ORCID,Yang Dong³^ORCID

Affiliation:

1. Department of Industrial Engineering, Tsinghua University, Beijing, China

2. School of International Trade and Economics, University of International Business and Economics, Beijing, China

3. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, China

Funder

Research Grants Council of the Hong Kong Special Administrative Region, China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference25 articles.

4. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;Proc KDD,1996

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