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Multivariate analysis
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#	Item
121	ASSIST: A Suite of S functions Implementing Spline smoothing Techniques Yuedong Wang∗ University of California, Santa Barbara, USA and Chunlei Ke Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2004-05-19 00:27:37 Regression analysis Interpolation Statistical methods Econometrics Multivariate interpolation Smoothing spline Spline Thin plate spline Generalized additive model Linear regression Cubic Hermite spline Nonparametric regression
122	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
123	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
124	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
125	. .  , 2003, . 24, . 6, 1237–1258 Performance evaluation of spatial interpolation methods in the presence of noise ¨ ZPINAR and L. O ¨ ZDAMAR† Add to Reading List Source URL: www.geog.ucsb.edu Language: English - Date: 2005-02-02 12:21:41 Interpolation Geostatistics Kriging Multivariate interpolation Variogram Radial basis function Semivariance Regression analysis Regression-Kriging Gaussian process
126	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
127	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
128	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
129	Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS Add to Reading List Source URL: prism.nacse.org Language: English - Date: 2015-04-13 19:30:57 Regression analysis Linear regression Regression dilution Logistic regression Statistics Prediction Dependent and independent variables Generalized linear model Errors and residuals Observational error Multivariate adaptive regression splines
130	DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections Su Yan∗ Sofien Bouaziz Dongwon Lee IBM Almaden Research Center Ecole Polytechnique F´ed´erale de Lausanne Pennsylvania State Univer Add to Reading List Source URL: sofienbouaziz.com Language: English - Date: 2015-11-19 01:50:34 Multivariate statistics Dimension reduction Geostatistics Functional analysis Linear algebra Dimensionality reduction Principal component analysis Nonlinear dimensionality reduction K-nearest neighbors algorithm Cluster analysis Kernel method Linear discriminant analysis

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