
CGAL
 Referenced in 348 articles
[sw00118]
 neighbor interpolation and placement of streamlines), shape analysis, fitting, and distances (smallest enclosing sphere ... spheres, smallest enclosing ellipsoid of points, principal component analysis), and kinetic data structures. All these...

PMA
 Referenced in 102 articles
[sw19126]
 Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described ... with applications to sparse principal components and canonical correlation analysis. Biostatistics...

SuLQ
 Referenced in 120 articles
[sw11355]
 ways. First, we modify the privacy analysis to realvalued functions f and arbitrary ... very few invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...

ROBPCA
 Referenced in 61 articles
[sw11592]
 ROBPCA: A New Approach to Robust Principal Component Analysis. We introduce a new method ... robust principal component analysis (PCA). Classical PCA is based on the empirical covariance matrix...

SODAS
 Referenced in 58 articles
[sw00885]
 symbolic description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation...

PCASIFT
 Referenced in 77 articles
[sw04592]
 smoothed weighted histograms, we apply Principal Components Analysis (PCA) to the normalized gradient patch...

KPCA plus LDA
 Referenced in 69 articles
[sw08766]
 examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert space and develops ... phase KFD framework, i.e., kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis...

Eigentaste
 Referenced in 58 articles
[sw12451]
 common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

Eigenstrat
 Referenced in 51 articles
[sw33845]
 EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls...

LIBRA
 Referenced in 26 articles
[sw10553]
 LIBRA. LIBRA: a MATLAB Library for Robust Analysis is developed at ROBUST@Leuven, the research ... estimation (MCD), regression (LTS, MCDregression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...

Survey
 Referenced in 47 articles
[sw08163]
 package survey: analysis of complex survey samples. Summary statistics, twosample tests, generalised linear models ... standardization. PPS sampling without replacement. Principal components, factor analysis...

Multilinear Engine
 Referenced in 29 articles
[sw14430]
 Problems, including the nWay Parallel Factor Analysis Model. A technique for fitting multilinear ... manydimensional data arrays is described. Principal component analysis and threeway PARAFAC factor analysis...

mixOmics
 Referenced in 23 articles
[sw09508]
 include: sparse PLSDiscriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...

refund
 Referenced in 41 articles
[sw07434]
 data using principal components. Functional principal components (FPC) analysis is widely used to decompose ... implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably...

RMMEDA
 Referenced in 26 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

LowRankModels
 Referenced in 21 articles
[sw27002]
 models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...

Pyglrm
 Referenced in 20 articles
[sw27003]
 models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...

missMDA
 Referenced in 14 articles
[sw08142]
 Handling missing values with/in multivariate data analysis (principal component methods). Imputation of incomplete continuous ... Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis...

compositions
 Referenced in 18 articles
[sw00150]
 statistics and plots (ternary diagrams, boxplots), principal component analysis (using biplots), cluster analysis with Aitchison...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 simulations, use statistical plots for exploratory data analysis, and perform hypothesis tests. For analyzing multidimensional ... feature selection, transform your data with principal component analysis, apply regularization and shrinkage...