Merging DBSCAN and Density Peak for Robust Clustering
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-30490-4_48
Reference43 articles.
1. Achtert, E., Bohm, C., Kroger, P.: Deli-clu: boosting robustness, completeness, usability, and efficiency of hierarchical clustering by a closest pair ranking. In: International Conference on Knowledge Discovery and Data Mining, pp. 119–128 (2006)
2. Ankerst, M., Breunig, M.M., Kriegel, H.P., Sander, J.: Optics: Ordering points to identify the clustering structure. In: ACM SIGMOD International Conference on Management of Data, pp. 49–60 (1999). https://doi.org/10.1145/304182.304187
3. Bai, L., Cheng, X., Liang, J., Shen, H., Guo, Y.: Fast density clustering strategies based on the k-means algorithm. Pattern Recogn. 71, 375–386 (2017). https://doi.org/10.1016/j.patcog.2017.06.023
4. Bansal, N., Blum, A., Chawla, S.: Correlation clustering. Mach. Learn. 56(1–3), 89–113 (2004). https://doi.org/10.1023/B:MACH.0000033116.57574.95
5. Brendan, J.F., Delbert, D.: Clustering by passing messages between data points. Science 315, 972–976 (2007). https://doi.org/10.1126/science.1136800
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