A k-Means Algorithm for Clustering with Soft Must-link and Cannot-link Constraints-Reference-Cited by-同舟云学术

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A k-Means Algorithm for Clustering with Soft Must-link and Cannot-link Constraints

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods
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Author:

Baumann Philipp¹,Hochbaum Dorit²

Affiliation:

1. Department of Business Administration, University of Bern, Schuetzenmattstrasse 14, 3012 Bern, Switzerland, --- Select a Country ---

2. IEOR Department, University of California, Berkeley, Etcheverry Hall, CA 94720, U.S.A., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 4 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. Differential Private Histogram Publication with Background Knowledge;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Clustering by Constrained Gravitational Law Based on Multiple Sub-Centroids;2024

3. A Deep Learning-Based Novel Class Discovery Approach for Automatic Modulation Classification;IEEE Communications Letters;2023-11

4. 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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