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Volumn 4213 LNAI, Issue , 2006, Pages 211-222

Why does subsequence time-series clustering produce sine waves?

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA PROCESSING; LEARNING SYSTEMS;

EID: 33750309171     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871637_23     Document Type: Conference Paper
Times cited : (18)

References (10)
  • 1
    • 33750343311 scopus 로고    scopus 로고
    • Making subsequence time series clustering meaningful
    • J. Chen. Making subsequence time series clustering meaningful. In Proc. IEEE Intl. Conf. Data Mining, pages 114-121, 2005.
    • (2005) Proc. IEEE Intl. Conf. Data Mining , pp. 114-121
    • Chen, J.1
  • 3
    • 14344257496 scopus 로고    scopus 로고
    • K-means clustering via principal component analysis
    • C. Ding and X. He. K-means clustering via principal component analysis. In Proc. Intl. Conf. Machine Learning, pages 225-232, 2004.
    • (2004) Proc. Intl. Conf. Machine Learning , pp. 225-232
    • Ding, C.1    He, X.2
  • 5
    • 33750330836 scopus 로고    scopus 로고
    • Pairwise symmetry decomposition method for generalized covariance analysis
    • T. Idé. Pairwise symmetry decomposition method for generalized covariance analysis. In Proc. IEEE Intl. Conf. Data Mining, pages 657-660, 2005.
    • (2005) Proc. IEEE Intl. Conf. Data Mining , pp. 657-660
    • Idé, T.1
  • 8
    • 78149351008 scopus 로고    scopus 로고
    • Clustering of time series subsequences is meaningless: Implications for previous and future research
    • IEEE
    • E. Keogh, J. Lin, and W. Truppel. Clustering of time series subsequences is meaningless: Implications for previous and future research. In Proc. IEEE Intl. Conf. Data Mining, pages 115-122. IEEE, 2003.
    • (2003) Proc. IEEE Intl. Conf. Data Mining , pp. 115-122
    • Keogh, E.1    Lin, J.2    Truppel, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.