Using instance-level constraints in agglomerative hierarchical clustering: Theoretical and empirical results

Data Mining and Knowledge Discovery

Volumn 18, Issue 2, 2009, Pages 257-282

  Davidson, Ian ^a   Ravi, S S ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b State University of New York   (United States)

Author keywords

Clustering; Constrained clustering; Semi supervised learning

Indexed keywords

SUPERVISED LEARNING;

AGGLOMERATIVE HIERARCHICAL CLUSTERING; BACKGROUND KNOWLEDGE; CLUSTER PROPERTIES; CLUSTERING; COMPLEXITY ANALYSIS; CONSTRAINED CLUSTERING; DENDROGRAM; EMPIRICAL RESULTS; HIER-ARCHICAL CLUSTERING; HIERARCHICAL CLUSTERING ALGORITHMS; RUNNING TIME; SEMI-SUPERVISED LEARNING;

CLUSTERING ALGORITHMS;

EID: 60849121404     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-008-0103-4     Document Type: Article

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