CSDA 2007 | Sciweavers

15

CSDA
2007

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DIVCLUS-T: A monothetic divisive hierarchical clustering method

13 years 4 months ago

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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16

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CSDA
2007

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Regularized linear and kernel redundancy analysis

13 years 4 months ago

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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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4

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CSDA
2007

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Fast robust regression algorithms for problems with Toeplitz structure

13 years 4 months ago

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Nicola Mastronardi, Dianne P. O'Leary

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12

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CSDA
2007

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Applications of TLS and related methods in the environmental sciences

13 years 4 months ago

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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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15

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CSDA
2007

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Robust counterparts of errors-in-variables problems

13 years 4 months ago

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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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9

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CSDA
2007

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On a quadratic eigenproblem occurring in regularized total least squares

13 years 4 months ago

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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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15

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CSDA
2007

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Model-based methods to identify multiple cluster structures in a data set

13 years 4 months ago

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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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7

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CSDA
2007

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Computing the least quartile difference estimator in the plane

13 years 4 months ago

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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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9

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CSDA
2007

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Input selection and shrinkage in multiresponse linear regression

13 years 4 months ago