CLICKS: Mining subspace clusters in categorical data via K-partite maximal cliques

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2005, Pages 355-356

  Zaki, Mohammed J ^a   Peters, Markus ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLICKS; K-PARTITE; SUBSPACE CLUSTERS;

DATA ACQUISITION; DATABASE SYSTEMS;

ALGORITHMS;

EID: 28444449780     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2005.33     Document Type: Conference Paper

References (4)

1. V. Ganti, J. Gehrke, and R. Ramakrishnan. CACTUS: Clustering categorical data using summaries. SIGKDD, 1999.
2. D. Gibson, J. Kleinberg, and P. Raghavan. Clustering categorical data: An approach based on dynamical systems. VLDB, 1998.
3. S. Guha, R. Rastogi, and K. Shim. Rock: A robust clustering algorithm for categorical attributes. ICDE, 1999.
4. M. Peters and M. J. Zaki. CLICK: Clustering categorical data using k-partite maximal cliques. TR 04-11, CS Dept., RPI, 2004.