Math @ Duke

Publications [#235441] of Pankaj K. Agarwal
Papers Published
 Procopiuc, CM; Jones, M; Agarwal, PK; Murali, TM, A Monte Carlo algorithm for fast projective clustering,
Proceedings / ACMSIGMOD International Conference on Management of Data. ACMSigmod International Conference on Management of Data
(2002),
pp. 418427, ISSN 07308078
(last updated on 2018/06/22)
Abstract: We propose a mathematical formulation for the notion of optimal projective cluster, starting from natural requirements on the density of points in subspaces. This allows us to develop a Monte Carlo algorithm for iteratively computing projective clusters. We prove that the computed clusters are good with high probability. We implemented a modified version of the algorithm, using heuristics to speed up computation. Our extensive experiments show that our method is significantly more accurate than previous approaches. In particular, we use our techniques to build a classifier for detecting rotated human faces in cluttered images.


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