SRG: a clustering algorithm based on scale division and region growing
Author:
Funder
Natural Science Foundation of Tianjin
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03917-4.pdf
Reference28 articles.
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2. Mondal, S.A.: An improved approximation algorithm for hierarchical clustering. Pattern Recogn. Lett. 104, 23–28 (2018). https://doi.org/10.1016/j.patrec.2018.01.015
3. Chen, H.Z., Wang, W.W., Feng, X.C., He, R.Q.: Discriminative and coherent subspace clustering. Neurocomputing 284, 177–186 (2018). https://doi.org/10.1016/j.neucom.2018.01.006
4. Li, H.L., Wang, C., Deng, X.Y.: Multivariate time series clustering based on affinity propagation of component attributes. Control Decis. 33(4), 649–656 (2018). https://doi.org/10.13195/j.kzyjc.2017.0150
5. Li, X.L., Cao, X.F., Qiu, B.Z.: Clustering boundary pattern discovery for high dimensional space base on matrix model. Acta Autom. Sin. 43(11), 1962–1972 (2017). https://doi.org/10.16383/j.aas.2017.c160443
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