Biased box sampling - A density-biased sampling for clustering

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2007, Pages 445-446

  Appel, Ana Paula ^a   Paterlini, Adriano Arantes ^a   De Sousa, Elaine P M ^a   Traina, Agma J M ^a   Traina Jr , Caetano ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Attribute correlation; Biased sampling; Cluster; Intrinsic dimension

Indexed keywords

ALGORITHMS; CORRELATION METHODS; DATA ACQUISITION;

ATTRIBUTE CORRELATION; BIASED BOX SAMPLING (BBS); INTRINSIC DIMENSION; ORIGINAL DATA;

CLUSTER ANALYSIS;

EID: 35248893840     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1244002.1244105     Document Type: Conference Paper

References (2)

1. M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the Second International Conference on KDD-96, pages 226-231. AAAI Press, 1996.
2. E. P. M. d. Sousa, C. Traina Jr., A. J. M. Traina, and C. Faloutsos. How to use fractal dimension to find correlations between attributes. In First Workshop on Fractals and Self-similarity in Data Mining: Issues and Approaches (in conjunction with 8th ACM SIGKDD), pages 26-30, Edmonton, Alberta, Canada, 2002. ACM Press.