A framework for semi-supervised learning based on subjective and objective clustering criteria

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2005, Pages 4-7

  Halkidi, M ^a,b   Gunopulos, D ^a   Kumar, N ^a   Vazirgiannis, M ^b   Domeniconi, C ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

^c GEORGE MASON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; DATA REDUCTION; PARAMETER ESTIMATION;

OBJECTIVE CLUSTERING; WEIGHTED EUCLIDEAN SUBSPACE;

LEARNING SYSTEMS;

EID: 34548564268     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.4     Document Type: Conference Paper

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