Publisher
Springer Science and Business Media LLC
Reference28 articles.
1. Anderlucci, L., Fortunato, F., Montanari, A.: High-dimensional clustering via random projections. J. Classif. 1–26 (2021)
2. Bhagat, A., Kshirsagar, N., Khodke, P., Dongre, K., Ali, S.: Penalty parameter selection for hierarchical data stream clustering. Proc. Comput. Sci. 79, 24–31 (2016)
3. Silva, J.A., Faria, E.R., Barros, R.C., Hruschka, E.R., Carvalho, A.C.D., Gama, J.: Data stream clustering: a survey. ACM Comput. Surv. 46(1), 1–31 (2013)
4. Chefrour, A.: Incremental supervised learning: algorithms and applications in pattern recognition. Evol. Intel. 12(2), 97–112 (2019)
5. Sowjanya, A.M., Shashi, M.: Cluster feature-based incremental clustering approach (CFICA) for numerical data. Int. J. Comput. Sci. Netw. Sec. 10(9), 73–79 (2010)
Cited by
1 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