A Binary Linear Programming-Based K-Means Algorithm For Clustering with Must-Link and Cannot-Link Constraints
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9309717/9309664/09309775.pdf?arnumber=9309775
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The MPFCC Algorithm: A Model-Based Approach for Fair-Capacitated Clustering;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18
2. Efficient Algorithm for the $k$-Means Problem with Must-Link and Cannot-Link Constraints;Tsinghua Science and Technology;2023-12
3. Global optimization for cardinality-constrained minimum sum-of-squares clustering via semidefinite programming;Mathematical Programming;2023-10-12
4. Semi-supervised K-Means Clustering via DC Programming Approach;Mathematical Optimization Theory and Operations Research;2023
5. FT-KMEANS: A Fast Algorithm For Fault-Tolerant Facility Location;2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2022-12-07
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