An Improved Soft Subspace Clustering Algorithm Based on Particle Swarm Optimization for MR Image Segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s12539-023-00570-2.pdf
Reference21 articles.
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3. Agrawal R, Gehrke JE, Gunopulos D, Raghavan P (1998) Automatic subspace clustering of high dimensional data for data mining applications. ACM SIGMOD Rec 27(2):94–105. https://doi.org/10.1145/276305.276314
4. Bi XW, Zhang XH, Wang SD, Zhang HF (2022) Entropy-weighted reconstruction adversary and curriculum pseudo labeling for domain adaptation in semantic segmentation. Neurocomputing 506:277–289. https://doi.org/10.1016/J.NEUCOM.2022.07.073
5. Wang Q, Gong CY, Wang PH (2022) Clustering based on adaptive local density with evidential assigning strategy. Intel Data Anal 1:1–4. https://doi.org/10.3233/IDA-205670
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