메뉴 건너뛰기




Volumn 4, Issue 3, 1996, Pages 149-160

Probability density estimation using a Gaussian clustering algorithm

Author keywords

Gaussian clustering neural network; Non parametric density estimation

Indexed keywords


EID: 0041111518     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01414875     Document Type: Article
Times cited : (7)

References (13)
  • 1
    • 0026151470 scopus 로고
    • A neural network approach to statistical pattern classification by semiparametric estimation of probability density functions
    • Tråvén HGC. A neural network approach to statistical pattern classification by semiparametric estimation of probability density functions. IEEE Trans Neural Networks 1991; 2: 366-377
    • (1991) IEEE Trans Neural Networks , vol.2 , pp. 366-377
    • Tråvén, H.G.C.1
  • 4
    • 0021404166 scopus 로고
    • Mixture densities, maximum likelihood and the EM algorithm
    • Redner RH, Walker HF. Mixture densities, maximum likelihood and the EM algorithm. SIAM Rev 1984; 26: 195-239
    • (1984) SIAM Rev , vol.26 , pp. 195-239
    • Redner, R.H.1    Walker, H.F.2
  • 6
    • 21144474248 scopus 로고
    • Comparison of smoothing parametrizations in bivariate kernel density estimation
    • Wand MP, Jones MC. Comparison of smoothing parametrizations in bivariate kernel density estimation. J Am Statist Assoc 1993; 88: 520-528
    • (1993) J Am Statist Assoc , vol.88 , pp. 520-528
    • Wand, M.P.1    Jones, M.C.2
  • 7
    • 0040500961 scopus 로고
    • Comparison of smoothing parametrizations in bivariate kernel density estimation
    • Department of Statistics, Rice University
    • Wand MP, Jones MC. Comparison of smoothing parametrizations in bivariate kernel density estimation. Technical Report, Department of Statistics, Rice University, 1991
    • (1991) Technical Report
    • Wand, M.P.1    Jones, M.C.2
  • 8
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • MacQueen JB. Some methods for classification and analysis of multivariate observations. Proc Fifth Berkeley Symp Math Stat Prob 1967
    • (1967) Proc Fifth Berkeley Symp Math Stat Prob
    • MacQueen, J.B.1
  • 9
    • 0001138328 scopus 로고
    • A k-means algorithm
    • Hartigan JA, Wong MA. A k-means algorithm. Appl Stat 1979; 28: 100-108 (also in: Griffiths P, Hill ID (eds), Applied Statistics Algorithms, Ellis Horwood, Chichester, 1981)
    • (1979) Appl Stat , vol.28 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 10
    • 0003983964 scopus 로고
    • Ellis Horwood, Chichester
    • Hartigan JA, Wong MA. A k-means algorithm. Appl Stat 1979; 28: 100-108 (also in: Griffiths P, Hill ID (eds), Applied Statistics Algorithms, Ellis Horwood, Chichester, 1981)
    • (1981) Applied Statistics Algorithms
    • Griffiths, P.1    Hill, I.D.2
  • 11
    • 4244037435 scopus 로고
    • Multivariate density estimation: A comparative study
    • Institute of Computer Science, Polish Academy of Sciences
    • Ćwik J, Koronacki J. Multivariate density estimation: A comparative study. Technical Report, Institute of Computer Science, Polish Academy of Sciences, 1995
    • (1995) Technical Report
    • Ćwik, J.1    Koronacki, J.2
  • 12
    • 21344491756 scopus 로고
    • Bias reduction in kernel density estimation by smoothed empirical transformations
    • Ruppert D, Cline DBH. Bias reduction in kernel density estimation by smoothed empirical transformations. Ann Statist 1994; 22: 185-210
    • (1994) Ann Statist , vol.22 , pp. 185-210
    • Ruppert, D.1    Cline, D.B.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.