Semi-supervised discriminative clustering with graph regularization-Reference-Cited by-同舟云学术

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Semi-supervised discriminative clustering with graph regularization

Published:2018-07 Issue: Volume:151 Page:24-36
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Śmieja Marek,Myronov Oleksandr,Tabor Jacek

Funder

National Science Centre

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. Constraints as features;Asafi,2013

2. Hierarchical constraints;Bade;Mach. Learn.,2014

3. A probabilistic framework for semi-supervised clustering;Basu,2004

4. Constrained Clustering: Advances in Algorithms, Theory, and Applications;Basu,2008

5. Integrating constraints and metric learning in semi-supervised clustering;Bilenko,2004

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1. Effective semi-supervised graph clustering with pairwise constraints;Information Sciences;2024-10

2. Constrained clustering with weak label prior;Frontiers of Computer Science;2023-12-13

3. An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels;Knowledge-Based Systems;2023-09

4. A review on semi-supervised clustering;Information Sciences;2023-06

5. NaNG-ST: A natural neighborhood graph-based self-training method for semi-supervised classification;Neurocomputing;2022-12

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