Author:
Li Junhong,Guan Renxiang,Han Yuhang,Hu Yaowen,Li Zihao,Wu Yanyan,Xu Ziwei,Li Xianju
Publisher
Springer Nature Singapore
Reference23 articles.
1. Kanungo, T., Mount, D.M., Netanyahu, N.S., Piatko, C.D., Silverman, R., Wu, A.Y.: An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 881–892 (2002)
2. Niazmardi, S., Homayouni, S., Safari, A.: An improved FCM algorithm based on the SVDD for unsupervised hyperspectral data classification. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 6(2), 831–839 (2013)
3. Elhamifar, E., Vidal, R.: Sparse subspace clustering: algorithm, theory, and applications. IEEE Trans. Pattern Anal. Mach. Intell. 35(11), 2765–2781 (2013)
4. Matsushima, S., Brbic, M.: Selective sampling-based scalable sparse subspace clustering. In: Advances in Neural Information Processing Systems, vol. 32 (2019)
5. Vidal, R., Favaro, P.: Low rank subspace clustering (LRSC). Pattern Recogn. Lett. 43, 47–61 (2014)