Clustering of Image Covariance Matrixes on Lie Group Manifold
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Published:2024-04
Issue:2
Volume:58
Page:209-215
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ISSN:0146-4116
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Container-title:Automatic Control and Computer Sciences
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language:en
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Short-container-title:Aut. Control Comp. Sci.
Reference16 articles.
1. Duda, R.O., Hart, P.E., and Stork, D.G., Pattern Classification, New Jersey: Wiley-Interscience, 2000. 2. Comaniciu, D. and Meer, P., Mean shift analysis and applications, Proc. Seventh IEEE Int. Conf. on Computer Vision, Kerkyra, Greece, 1999, IEEE, 1999, vol. 2, pp. 1197–1203. https://doi.org/10.1109/iccv.1999.790416 3. Gaddam, S.R., Phoha, V.V., and Balagani, K.S., K-means+ID3: A novel method for supervised anomaly detection by cascading k-means clustering and ID3 decision tree learning methods, IEEE Trans. Knowl. Data Eng., 2007, vol. 19, no. 3, pp. 345–354. https://doi.org/10.1109/tkde.2007.44 4. Zhang, B. and Srihari, S.N., Fast k-nearest neighbor classification using clustering-based trees, IEEE Trans. Pattern Anal. Mach. Intell., 2004, vol. 26, no. 4, pp. 525–528. https://doi.org/10.1109/TPAMI.2004.1265868 5. Madallah, A., Muhammad, H.S., and Muhammad, A.J., A robust clustering algorithm using spatial fuzzy C‑means for brain MR images, Egyptian Inf. J., 2020, vol. 21, no. 1, pp. 51–66. https://doi.org/10.1016/j.eij.2019.10.005
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