TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality

Author:

Kryszkiewicz Marzena,Lasek Piotr

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Beckmann, N., Kriegel, H.P.: The R*-tree: An Efficient and Robust Access Method for Points and Rectangles. In: Proc. of ACM SIGMOD, Atlantic City, pp. 322–331 (1990)

2. Elkan, C.: Using the Triangle Inequality to Accelerate k-Means. In: Proc. of ICML 2003, Washington, pp. 147–153 (2003)

3. Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Database with Noise. In: Proc. of KDD 1996, Portland, pp. 226–231 (1996)

4. Guttman, A.: R-Trees: A Dynamic Index Structure For Spatial Searching. In: Proc. of ACM SIGMOD, Boston, pp. 47–57 (1984)

5. Kryszkiewicz, M., Lasek, P.: TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality, ICS Research Report, Warsaw University of Technology (April 2010)

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