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Volumn , Issue , 2006, Pages

Detecting low complexity clusters by skewness and kurtosis in data stream clustering

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE STRUCTURES; DATA CLUSTERS; DATA POINTS; DATA STREAM CLUSTERING; DISTANCE MEASURE; HISTORICAL DATA; SECOND ORDER STATISTICS; STATISTICAL REPRESENTATIONS;

EID: 84864539140     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 1
    • 54949111219 scopus 로고    scopus 로고
    • Design principles of a neuromotor prosthetic device
    • Kenneth W. Horch and Gurpreet S. Dhillon, editors. World Scientific, New Jersey. Section 7.9
    • M. D. Serruya and J. P. Donoghue. Design principles of a neuromotor prosthetic device. In Kenneth W. Horch and Gurpreet S. Dhillon, editors, Neuroprosthetics: Theory and Practice, pages 1158-1196. World Scientific, New Jersey, 2004. Section 7.9.
    • (2004) Neuroprosthetics: Theory and Practice , pp. 1158-1196
    • Serruya, M.D.1    Donoghue, J.P.2
  • 3
    • 27544498086 scopus 로고    scopus 로고
    • Highly efficient incremental estimation of Gaussian mixture models for online data stream clustering
    • DOI 10.1117/12.604248, 24, Intelligent Computing: Theory and Applications III
    • M. Song and H. Wang. Highly efficient incremental estimation of Gaussian mixture models for online data stream clustering. In K. L. Priddy, editor, Proceedings of SPIE: Intelligent Computing - Theory and Applications III, volume 5803, pages 174-183, 2005. (Pubitemid 41537974)
    • (2005) Proceedings of SPIE - The International Society for Optical Engineering , vol.5803 , pp. 174-183
    • Song, M.1    Wang, H.2
  • 10
    • 2942611661 scopus 로고
    • Measures of multivariate skewness and kurtosis with applications
    • K. V. Mardia. Measures of multivariate skewness and kurtosis with applications. Biometrika, 57:519-530, 1970.
    • (1970) Biometrika , vol.57 , pp. 519-530
    • Mardia, K.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.