Discovering multiple clustering solutions: Grouping objects in different views of the data

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2010, Pages 1220-

  Muller, Emmanuel ^a,b   Gunnemann, Stephan ^a   Farber, Ines ^a   Seidl, Thomas ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Alternative clustering; Data mining; Multiple perspectives; Orthogonal clustering; Subspace clustering

Indexed keywords

ALTERNATIVE CLUSTERING; COMPLEX DATA; EXISTING METHOD; HIGH DIMENSIONAL DATA; MULTIPLE ATTRIBUTES; MULTIPLE CLUSTERINGS; MULTIPLE PERSPECTIVES; ORTHOGONAL CLUSTERING; REAL-WORLD APPLICATION; RESEARCH AREAS; RESEARCH FIELDS; SUBSPACE CLUSTERING; TRADITIONAL CLUSTERING;

CLUSTER ANALYSIS; DATA MINING; RESEARCH;

CLUSTERING ALGORITHMS;

EID: 79951760482     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2010.85     Document Type: Conference Paper

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