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Volumn , Issue , 2011, Pages 973-978

Coupled nominal similarity in unsupervised learning

Author keywords

accuracy; complexity; similarity measure

Indexed keywords

ACCURACY; COMPLEXITY; DATA SETS; FREQUENCY DISTRIBUTIONS; PERFORMANCE IMPROVEMENTS; SIMILARITY MEASURE; SIMILARITY METRICS;

EID: 83055161738     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063715     Document Type: Conference Paper
Times cited : (86)

References (10)
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    • Ahmad, A.1    Dey, L.2
  • 2
    • 52649136576 scopus 로고    scopus 로고
    • Similarity measures for categorical data: A comparative evaluation
    • S. Boriah, V. Chandola, and V. Kumar. Similarity measures for categorical data: a comparative evaluation. In SDM 2008, pages 243-254, 2008.
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    • Boriah, S.1    Chandola, V.2    Kumar, V.3
  • 5
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    • A weighted nearest neighbor algorithm for learning with symbolic features
    • S. Cost and S. Salzberg. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 10(1):57-78, 1993.
    • (1993) Machine Learning , vol.10 , Issue.1 , pp. 57-78
    • Cost, S.1    Salzberg, S.2
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    • 84974698302 scopus 로고    scopus 로고
    • Context-based similarity measures for categorical databases
    • G. Das and H. Mannila. Context-based similarity measures for categorical databases. In PKDD 2000, pages 201-210, 2000.
    • (2000) PKDD 2000 , pp. 201-210
    • Das, G.1    Mannila, H.2
  • 8
    • 78651294019 scopus 로고    scopus 로고
    • Active caching for similarity queries based on shared-neighbor information
    • M. Houle, V. Oria, and U. Qasim. Active caching for similarity queries based on shared-neighbor information. In CIKM 2010, pages 669-678, 2010.
    • (2010) CIKM 2010 , pp. 669-678
    • Houle, M.1    Oria, V.2    Qasim, U.3
  • 9
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    • A tutorial on spectral clustering
    • U. Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17(4):1-32, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 1-32
    • Luxburg, U.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.