A Novel Clustering Method Based on Spatial Operations

Author:

Wang Hui

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs (1988)

2. Gibson, D., Kleinberg, J., Raghavan, P.: Clustering categorical data: An approach based on dynamical systems. In: Proc. 24th International Conference on Very Large Databases, New York (1998)

3. Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, pp. 226–231. AAAI Press, Menlo Park (1996)

4. Wang, W., Yang, J., Muntz, R.: STING: A statistical information grid approach to spatial data mining. In: Proc. 23rd Int. Conf. on Very Large Databases, pp. 186–195. Morgan Kaufmann, San Francisco (1997)

5. Wang, H., Düntsch, I., Bell, D.: Data reduction based on hyper relations. In: Proceedings of KDD 1998, New York, pp. 349–353 (1998)

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