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Principal component analysis
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#	Item
71	GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L20714, doi:2005GL023089, 2005 Reply to comment by von Storch and Zorita on ‘‘Hockey sticks, principal components, and spurious significance’’ Stephen McIntyre Nort Add to Reading List Source URL: climateaudit.files.wordpress.com Language: English - Date: 2009-12-09 18:09:51 Climate history Paleoclimatology Holocene Temperature record of the past 1000 years Steve McIntyre Proxy M&M Raymond S. Bradley Principal component analysis Pseudoproxy Hockey stick controversy Hockey stick graph
72	Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens van der Maaten Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Semidefinite embedding Spectral clustering Kernel principal component analysis T-distributed stochastic neighbor embedding
73	Tutorial: An example of statistical data analysis using the R environment for statistical computing D G Rossiter Version 1.3; March 8, 2014 Add to Reading List Source URL: www.css.cornell.edu Language: English - Date: 2015-10-21 13:33:25 Regression analysis Econometrics Parametric statistics Multivariate statistics Statistical tests Analysis of variance Linear regression Errors and residuals Principal component analysis Statistics Factor analysis Outline of regression analysis
74	䉬 Human Brain Mapping 14:140 –) 䉬 Add to Reading List Source URL: mialab.mrn.org Language: English - Date: 2011-04-29 13:52:23 Neuroimaging Multivariate statistics Magnetic resonance imaging Cognitive neuroscience Time series analysis Independent component analysis Functional magnetic resonance imaging Principal component analysis Outline of brain mapping Electroencephalography Statistical parametric mapping Dynamic functional connectivity
75	A DIRECT FORMULATION FOR SPARSE PCA USING SEMIDEFINITE PROGRAMMING∗ ALEXANDRE D’ASPREMONT† , LAURENT EL GHAOUI‡ , MICHAEL I. JORDAN§ , AND GERT R. G. LANCKRIET¶ Abstract. Given a covariance matrix, we consider Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Mathematical optimization Matrix theory Multivariate statistics Linear programming Operations research Sparse PCA Semidefinite programming Principal component analysis Convex optimization Eigenvalues and eigenvectors Matrix Singular value decomposition
76	ENERGY & ENVIRONMENT VOLUME 14 · NUMBER 6 · 2003 ISSN 0958-305X ©2003 Add to Reading List Source URL: climateaudit.files.wordpress.com Language: English - Date: 2009-12-09 18:08:30 Climate history Temperature record of the past 1000 years Steve McIntyre Proxy Data Temperature record Climate change Principal component analysis
77	An Interactive Visual Testbed System for Dimension Reduction and Clustering of Large-scale High-dimensional Data Jaegul Choo, Hanseung Lee, Zhicheng Liu, John Stasko, and Haesun Park Georgia Institute of Technology, USA Add to Reading List Source URL: www.zcliu.org Language: English - Date: 2016-07-30 20:21:03 Visualization Multivariate statistics Dimension reduction Data Data visualization Information technology governance K-means clustering Parallel coordinates Principal component analysis Information visualization Spectral clustering Data analysis
78	Multi-objective Genetic Programming for Visual Analytics Ilknur Icke1 and Andrew Rosenberg1,2 1 The Graduate Center, The City University of New York, Add to Reading List Source URL: eniac.cs.qc.cuny.edu Language: English - Date: 2011-03-10 09:53:36 Multivariate statistics Dimension reduction Statistical classification Machine learning Principal component analysis Dimensionality reduction K-nearest neighbors algorithm Feature extraction Curse of dimensionality Linear discriminant analysis Multidimensional scaling Kernel principal component analysis
79	Tilburg centre for Creative Computing Tilburg University http://www.uvt.nl/ticc P.O. BoxLE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Machine learning Computational statistics Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Principal component analysis Kernel principal component analysis Semidefinite embedding Kernel method
80	CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA) Tim Roughgarden & Gregory Valiant∗ April 18, 2016 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:44 Multivariate statistics Dimension reduction Abstract algebra Linear algebra Analytic geometry Principal component analysis Dimensionality reduction Eigenvalues and eigenvectors Linear regression Euclidean vector Degrees of freedom Eigenface

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