Principal value

Results: 874



#Item
541Multivariate statistics / Numerical linear algebra / Data analysis / Principal component analysis / Singular value decomposition / Control theory / Mathematical optimization / Non-linear least squares / Statistics / Algebra / Linear algebra

Model decomposition and reduction tools for large-scale networks in systems biology

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Source URL: sysos.eng.ox.ac.uk

Language: English - Date: 2012-03-04 12:56:56
542Education / Multidimensional scaling / Guttman scale / Louis Leon Thurstone / Principal component analysis / Law of comparative judgment / Singular value decomposition / Eigenvalues and eigenvectors / Factor analysis / Psychometrics / Algebra / Statistics

The Evolving Influence of Psychometrics in Political Science

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Source URL: voteview.com

Language: English - Date: 2012-06-14 10:29:20
543Data analysis / Regression analysis / Singular value decomposition / Principal component analysis / Covariance / Eigenvalues and eigenvectors / Linear regression / Factor analysis / Matrix / Statistics / Econometrics / Multivariate statistics

Discussion of: Treelets-An adaptive multi-scale basis for sparse unordered data

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2009-03-21 03:22:47
544Matrix theory / Singular value decomposition / Multivariate statistics / Numerical linear algebra / Eigenvalues and eigenvectors / Principal component analysis / Matrix / Algebra / Linear algebra / Mathematics

PCA and plotting: Scree plot: eigenvalues in non-increasing order Lamda’s[removed]

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Source URL: globin.cse.psu.edu

Language: English - Date: 2002-01-30 12:44:43
545Robust statistics / Multivariate statistics / Principal component analysis / Singular value decomposition / Outlier / Statistics / Algebra / Data analysis

Handling of data containing outliers Wolfram Stacklies and Henning Redestig CAS-MPG Partner Institute for Computational Biology (PICB) Shanghai, P.R. China and Max Planck Institute for Molecular Plant Physiology

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Source URL: www.bioconductor.org

Language: English - Date: 2014-10-13 20:48:32
546Functional analysis / Control theory / Regression analysis / Statistical models / Linear algebra / Singular value decomposition / Principal component analysis / Discretization / State space / Mathematics / Algebra / Statistics

Noname manuscript No. (will be inserted by the editor) Morphologically accurate reduced order modeling of spiking neurons Anthony R. Kellems, Saifon Chaturantabut,

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Source URL: www.caam.rice.edu

Language: English - Date: 2009-04-15 17:03:00
547Numerical linear algebra / Multivariate statistics / Matrix theory / Data analysis / Principal component analysis / Hankel matrix / Singular value decomposition / Matrix / Low-rank approximation / Algebra / Linear algebra / Mathematics

A low rank based seismic data interpolation via frequencypatches transform and low rank space projection Zhengsheng Yao, Mike Galbraith and Randy Kolesar Schlumberger Summary We propose a new algorithm to improve computa

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Source URL: www.geoconvention.com

Language: English - Date: 2014-04-20 15:59:09
548Matrix theory / Singular value decomposition / Numerical linear algebra / Multivariate statistics / Matrix / Principal component analysis / Eigenvalues and eigenvectors / Diagonal matrix / Factor analysis / Algebra / Linear algebra / Mathematics

HOW TO USE THE BLACK BOX by Keith T. Poole Graduate School of Industrial Administration

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Source URL: voteview.com

Language: English - Date: 2012-06-14 10:25:58
549Machine learning / Cluster analysis / Principal component analysis / Singular value decomposition / Dimension reduction / Consensus clustering / Statistics / Multivariate statistics / Data analysis

Visualizing clusters if T>2: Plot the points, color coded according to cluster membership, on the 1st principal components plane. This 2D view is “most representative” of the data, in the sense that it maximizes the

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Source URL: globin.cse.psu.edu

Language: English - Date: 2002-02-19 10:26:07
550Principal component analysis / Singular value decomposition / Machine learning / Imputation / Missing data / Cross-validation / Statistics / Data analysis / Multivariate statistics

Imputing missing values using the pcaMethods package Wolfram Stacklies and Henning Redestig CAS-MPG Partner Institute for Computational Biology (PICB) Shanghai, P.R. China and

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Source URL: www.bioconductor.org

Language: English - Date: 2014-10-13 20:48:32
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