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    CSDA
    2007
    142views more  CSDA 2007»
    DIVCLUS-T: A monothetic divisive hierarchical clustering method
    13 years 11 months ago
    DIVCLUS-T: A monothetic divisive hierarchical clustering method
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    DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
    Marie Chavent, Yves Lechevallier, Olivier Briant
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    CSDA
    2007
    128views more  CSDA 2007»
    Regularized linear and kernel redundancy analysis
    13 years 11 months ago
    Regularized linear and kernel redundancy analysis
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    Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
    Yoshio Takane, Heungsun Hwang
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    CSDA
    2007
    71views more  CSDA 2007»
    Fast robust regression algorithms for problems with Toeplitz structure
    13 years 11 months ago
    Fast robust regression algorithms for problems with Toeplitz structure
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    Nicola Mastronardi, Dianne P. O'Leary
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    CSDA
    2007
    76views more  CSDA 2007»
    Applications of TLS and related methods in the environmental sciences
    13 years 11 months ago
    Applications of TLS and related methods in the environmental sciences
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    Rainfall-Runoff and Signal Separation Problems: The process of converting rainfall into runoff is a highly nonlinear problem due to the soil-water interaction that starts when r...
    José A. Ramos
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    CSDA
    2007
    75views more  CSDA 2007»
    Robust counterparts of errors-in-variables problems
    13 years 11 months ago
    Robust counterparts of errors-in-variables problems
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    Of interest here are linear data fitting problems with uncertain data which lie in a given uncertainty set. A robust counterpart of such a problem may be interpreted as the probl...
    G. A. Watson
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    CSDA
    2007
    96views more  CSDA 2007»
    On a quadratic eigenproblem occurring in regularized total least squares
    13 years 11 months ago
    On a quadratic eigenproblem occurring in regularized total least squares
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    In a recent paper Sima, Van Huffel and Golub [Regularized total least squares based on quadratic eigenvalue problem solvers. BIT Numerical Mathematics 44, 793 - 812 (2004)] sugges...
    J. Lampe, H. Voss
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    CSDA
    2007
    264views more  CSDA 2007»
    Model-based methods to identify multiple cluster structures in a data set
    13 years 11 months ago
    Model-based methods to identify multiple cluster structures in a data set
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    Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
    Giuliano Galimberti, Gabriele Soffritti
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    CSDA
    2007
    127views more  CSDA 2007»
    Computing the least quartile difference estimator in the plane
    13 years 11 months ago
    Computing the least quartile difference estimator in the plane
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    A common problem in linear regression is that largely aberrant values can strongly influence the results. The least quartile difference (LQD) regression estimator is highly robus...
    Thorsten Bernholt, Robin Nunkesser, Karen Schettli...
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    CSDA
    2007
    100views more  CSDA 2007»
    Input selection and shrinkage in multiresponse linear regression
    13 years 11 months ago
    Input selection and shrinkage in multiresponse linear regression
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    Timo Similä, Jarkko Tikka
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    CSDA
    2007
    100views more  CSDA 2007»
    Building a robust linear model with forward selection and stepwise procedures
    13 years 11 months ago
    Building a robust linear model with forward selection and stepwise procedures
    Download  www.stat.ubc.ca
    Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar
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