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Richard Bean

  • PhD
  • Research Fellow
  • University of Queensland
  • 7h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 776CitationsNumber of citations received by Richard's publications. Updated daily.

Publications (20)

  • Clustering

    • McLachlan G
    • Bean R
    • Ng S
    N/AReaders
    1Citations
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  • How does our natural and built environment affect the use of bicycle sharing?

    • Mateo-Babiano I
    • Bean R
    • Corcoran J
    • et al.
    N/AReaders
    N/ACitations
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  • Calculation of minimum reserve levels for the australian national electricity market

    • Bean R
    • Vanderwaal B
    N/AReaders
    N/ACitations
  • Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study

    • McLaren C
    • Gordeuk V
    • Chen W
    • et al.
    N/AReaders
    4Citations
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  • Clustering

    • McLachlan G
    • Bean R
    • Ng S
    N/AReaders
    5Citations
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  • Application of gene shaving and mixture models to cluster microarray gene expression data

    • Do K
    • McLachlan G
    • Bean R
    • et al.
    N/AReaders
    1Citations
  • Clustering of Microarray Data via Mixture Models

    • McLachlan G
    • Ng A
    • Bean R
    N/AReaders
    1Citations
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  • Application of mixture models to detect differentially expressed genes

    • Jones L
    • Bean R
    • McLachlan G
    • et al.
    N/AReaders
    1Citations
  • Clustering objects on subsets of attributes: Discussion on the paper by Friedman and Meulman

    • Hand D
    • Glasbey C
    • Husmeier D
    • et al.
    N/AReaders
    1Citations
  • A mixture model-based approach to the clustering of microarray expression data

    • McLachlan G
    • Bean R
    • Peel D
    N/AReaders
    382Citations
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  • Counting Nodes in Chess

    • Institute R
    • Bean R
    N/AReaders
    N/ACitations
  • Critical Sets in Latin Squares and Associated Structures

    • Bean R
    N/AReaders
    N/ACitations
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  • Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution

    • McLachlan G
    • Bean R
    • Ben-Tovim Jones L
    N/AReaders
    83Citations
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  • A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays

    • McLachlan G
    • Bean R
    • Jones L
    N/AReaders
    110Citations
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  • A census of critical sets in the Latin squares of order at most six

    • Adams P
    • Bean R
    • Khodkar A
    N/AReaders
    5Citations
  • Issues of robustness and high dimensionality in cluster analysis

    • Basford K
    • McLachlan G
    • Bean R
    N/AReaders
    N/ACitations
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  • Mixture models for detecting differentially expressed genes in microarrays

    • Jones L
    • Bean R
    • McLachlan G
    • et al.
    N/AReaders
    3Citations
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  • Using mixture models to detect differentially expressed genes

    • McLachlan G
    • Bean R
    • Jones L
    • et al.
    N/AReaders
    14Citations
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  • Modelling high - dimensional data by mixtures of factor analyzers

    • McLachlan G
    • Peel D
    • Bean R
    N/AReaders
    140Citations
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  • Steiner trades that give rise to completely decomposable latin interchanges

    • Bean R
    • Donovan D
    • Khodkar A
    • et al.
    N/AReaders
    7Citations
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