Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations

Stephan Günnemann, Hardy Kremer, Dominik Lenhard, Thomas Seidl. Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. In Anastasia Ailamaki, Sihem Amer-Yahia, Jignesh M. Patel, Tore Risch, Pierre Senellart, Julia Stoyanovich, editors, EDBT 2011, 14th International Conference on Extending Database Technology, Uppsala, Sweden, March 21-24, 2011, Proceedings. pages 237-248, ACM, 2011. [doi]

Abstract

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