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Volumn , Issue , 2008, Pages 145-148

Non-parametric estimation of mixture model order

Author keywords

[No Author keywords available]

Indexed keywords

DOWN SAMPLING; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; K-MEANS CLUSTERING ALGORITHM; LOCAL OPTIMA; MIXTURE MODEL; MODEL ORDER; NON-PARAMETRIC ESTIMATIONS; NON-PARAMETRIC TECHNIQUES; NUMBER OF COMPONENTS; TRANSFORMATION AND ANALYSIS;

EID: 62349104541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSIAI.2008.4512306     Document Type: Conference Paper
Times cited : (4)

References (5)
  • 2
    • 0242679438 scopus 로고    scopus 로고
    • Finding the number of clusters in a dataset: An information theoretic approach
    • C. A. Sugar and G. M. James, "Finding the Number of Clusters in a Dataset: An Information Theoretic Approach", Journal of the American Statistical Association, vol. 98, 2003, pp. 750-763.
    • (2003) Journal of the American Statistical Association , vol.98 , pp. 750-763
    • Sugar, C.A.1    James, G.M.2
  • 4
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by minimum description length
    • J. Rissanen, "A Universal Prior for Integers and Estimation by Minimum Description Length", Annals of Statistics, vol. 11, no. 2, 1983, pp. 417-431.
    • (1983) Annals of Statistics , vol.11 , Issue.2 , pp. 417-431
    • Rissanen, J.1
  • 5
    • 84869620436 scopus 로고    scopus 로고
    • Cluster: An unsupervised algorithm for modeling gaussian mixtures
    • C. A. Bouman, "Cluster: An unsupervised algorithm for modeling Gaussian mixtures", School of Electrical Engineering at Purdue University, April 1997, http://cobweb.ecn.purdue.edu/~bouman/software/cluster
    • School of Electrical Engineering at Purdue University
    • Bouman, C.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.