An Adaptive Clustering Approach for Distributed Outlier Detection in Data Streams
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-20859-1_10
Reference13 articles.
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2. Di Fatta, G., Blasa, F., Cafiero, S., Fortino, G.: Epidemic k-means clustering. In: 2011 IEEE 11th International Conference on Data Mining Workshops, pp. 151–158 (2011)
3. Elhamifar, E., Vidal, R.: Sparse subspace clustering. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2790–2797 (2009)
4. Ertöz, L., Steinbach, M., Kumar, V.: Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data, pp. 47–58 (2003). https://doi.org/10.1137/1.9781611972733.5
5. Jelasity, M., Montresor, A., Babaoglu, O.: Gossip-based aggregation in large dynamic networks. ACM Trans. Comput. Syst. 23(3), 219–252 (2005). https://doi.org/10.1145/1082469.1082470
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