1. Agrawal, R., Gehekr, J., Gunopulos, D., Raghavan, P.: Automatic Subspace Clustering of High-Dimensional Data for Data Mining Applications. In: Proc. of ACM SIGMOD Conference, pp. 94–105 (1998)
2. Gionis, P.: Indyk and R. Motwani. Similarity Search in High Dimensions via Hashing. In: Proc. of the 25th VLDB Conference, pp. 518–528 (1999)
3. Haveliwala, T.H., Gionis, A., Indyk, P.: Scalable Techniques for Clustering the Web. In: Proc. of the Third International Workshop on the Web and Databases pp. 129–134 (2000)
4. Hinneburg, A., Keim, D.A.: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. In: Proc. of 4th International Conferences on Knowledge Discovery and Data Mining, pp. 58–65 (1998)
5. Indyk, P., Motwani, R.: Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality. In: Proc. of 30th ACM Symposium on Theory of Computing, pp. 604–613 (1998)