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Volumn 2973, Issue , 2004, Pages 831-842

Similarity search and dimensionality reduction: Not all dimensions are equally useful

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DIGITAL STORAGE;

EID: 35048862492     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24571-1_73     Document Type: Article
Times cited : (6)

References (20)
  • 20
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • R. Weber, H.-J. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In Proc. of the 24th Intl. Conf. on Very Large Databases, pages 194-205, 1998.
    • (1998) Proc. of the 24th Intl. Conf. on Very Large Databases , pp. 194-205
    • Weber, R.1    Schek, H.-J.2    Blott, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.