Revealing true subspace clusters in high dimensions

Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004

Volumn , Issue , 2004, Pages 463-466

  Liu, Jinze ^a   Strohmaier, Karl ^a   Wang, Wei ^a  

^a University of North Carolina   (United States)

Author keywords

Adhesion; Cluster Intersection; Gaussian Tails; Gene Expression; Local Grid; Overlapping Cluster; Subspace Clustering

Indexed keywords

CLUSTER INTERSECTIONS; GAUSSIAN TAILS; GENE EXPRESSION; LOCAL GRIDS; OVERLAPPING CLUSTERS; SUBSPACE CLUSTERING;

ALGORITHMS; CHEMOTHERAPY; DATABASE SYSTEMS; ENTROPY; GENETIC ENGINEERING; INPUT OUTPUT PROGRAMS; MATHEMATICAL MODELS; REAL TIME SYSTEMS; SET THEORY; THEOREM PROVING;

DATA MINING;

EID: 19544366756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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4. S. Goil, Harsha and Alok Choudhary. MAFIA: Efficient and scalable subspace clustering for very large data sets. In ICDE, 2000.
5. U.Kaymak, and M.Setnes. Extended Fuzzy Clustering Algorithms. Discussion paper of Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam, 2000.
6. J. Liu, K. Strohmaier and W. Wang. Revealing Sub-space Clusters in High Dimensional Space. UNC-CH CS technical report.
7. nd edition.
8. Dan Pelleg, Andrew Moore, Mixtures of Rectangles:Interpretable Soft Clustering, ICML, 2001