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Volumn 8, Issue 1, 2014, Pages 27-43

A constrained robust proposal for mixture modeling avoiding spurious solutions

Author keywords

Constraints; Eigenvalues restrictions; Maximum likelihood estimation; Mixture models; Robustness; Trimming

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; MAXIMUM LIKELIHOOD ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); TRIMMING;

EID: 84894530645     PISSN: 18625347     EISSN: 18625355     Source Type: Journal    
DOI: 10.1007/s11634-013-0153-3     Document Type: Article
Times cited : (24)

References (13)
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    • (2008) Studies in Classification, Data Analysis, and Knowledge Organization , pp. 103-110
    • Calò, D.G.1
  • 2
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    • Coretto, P.1    Hennig, C.2
  • 3
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    • (1998) Comput. J. , vol.41 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 5
    • 84866468964 scopus 로고    scopus 로고
    • Trimmed ML estimation of contaminated mixtures
    • Gallegos MT, Ritter G (2009) Trimmed ML estimation of contaminated mixtures. Sankhya (Ser. A) 71: 164-220.
    • (2009) Sankhya (Ser. A) , vol.71 , pp. 164-220
    • Gallegos, M.T.1    Ritter, G.2
  • 9
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    • Comparing partitions
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    • Hubert, L.1    Arabie, P.2
  • 10
    • 34247869709 scopus 로고    scopus 로고
    • Constrained monotone EM algorithms for finite mixture of multivariate Gaussians
    • Ingrassia S, Rocci R (2007) Constrained monotone EM algorithms for finite mixture of multivariate Gaussians. Comput. Stat. Data Anal. 51: 5339-5351.
    • (2007) Comput. Stat. Data Anal. , vol.51 , pp. 5339-5351
    • Ingrassia, S.1    Rocci, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.