DBSCAN Parameter Selection Based on K-NN

Author:

Delgado LeonardoORCID,Morales Eduardo F.ORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Arthur, D., Vassilvitskii, S.: K-means++: the advantages of careful seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, pp. 1027–1035. Society for Industrial and Applied Mathematics, USA (2007)

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3. Bezdek, J.C., Ehrlich, R., Full, W.: FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 10(2–3), 191–203 (1984). https://doi.org/10.1016/0098-3004(84)90020-7

4. Brownlee, J.: How to generate test datasets in python with scikit-learn, December 2018. https://machinelearningmastery.com/generate-test-datasets-python-scikit-learn/

5. Chang, A.X., et al.: ShapeNet: an information-rich 3D model repository. Technical report. arXiv:1512.03012 [cs.GR], Stanford University – Princeton University – Toyota Technological Institute at Chicago (2015)

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