Arthur Zimek
Abstract
This is a short summary of the author's thesis on "Correlation Clustering" (Ludwig-Maximilians-Universität München, Germany, 2008). The complete thesis is available at http://edoc.ub.uni-muenchen.de/8736/.
- E. Achtert, T. Bernecker, H.-P. Kriegel, E. Schubert, and A. Zimek. ELKI in time: ELKI 0.2 for the performance evaluation of distance measures for time series. In Proc. SSTD, 2009. Google Scholar
Digital Library
- E. Achtert, C. Böhm, J. David, P. Kröger, and A. Zimek. Global correlation clustering based on the hough transform. Stat. Anal. Data Min., 1(3):111--127, 2008. Google ScholarDigital Library
- E. Achtert, C. Böhm, J. David, P. Kröger, and A. Zimek. Robust clustering in arbitrarily oriented subspaces. In Proc. SDM, 2008.Google ScholarCross Ref
- E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, and A. Zimek. Deriving quantitative models for correlation clusters. In Proc. KDD, 2006. Google ScholarDigital Library
- E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, and A. Zimek. On exploring complex relationships of correlation clusters. In Proc. SSDBM, 2007. Google ScholarDigital Library
- E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, and A. Zimek. Robust, complete, and efficient correlation clustering. In Proc. SDM, 2007.Google ScholarCross Ref
- E. Achtert, C. Böhm, P. Kröger, and A. Zimek. Mining hierarchies of correlation clusters. In Proc. SSDBM, 2006. Google ScholarDigital Library
- E. Achtert, H.-P. Kriegel, and A. Zimek. ELKI: a software system for evaluation of subspace clustering algorithms. In Proc. SSDBM, 2008. Google ScholarDigital Library
- C. Böhm, K. Kailing, P. Kröger, and A. Zimek. Computing clusters of correlation connected objects. In Proc. SIGMOD, 2004. Google ScholarDigital Library
- H.-P. Kriegel, P. Kröger, E. Schubert, and A. Zimek. A general framework for increasing the robustness of PCA-based correlation clustering algorithms. In Proc. SSDBM, 2008. Google ScholarDigital Library
- H.-P. Kriegel, P. Kröger, and A. Zimek. Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering. PVLDB, 1(2):1528--1529, 2008. Google ScholarDigital Library
- H.-P. Kriegel, P. Kröger, and A. Zimek. Clustering high dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM TKDD, 3(1):1--58, 2009. Google ScholarDigital Library
Index Terms
- Correlation clustering
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