
CGAL
 Referenced in 380 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 120 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 125 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 68 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 70 articles
[sw00885]
 symbolic description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation...

PCASIFT
 Referenced in 79 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 62 articles
[sw12451]
 common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

Eigenstrat
 Referenced in 55 articles
[sw33845]
 EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls...

LIBRA
 Referenced in 28 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...

LowRankModels
 Referenced in 31 articles
[sw27002]
 models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...

refund
 Referenced in 55 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...

mixOmics
 Referenced in 29 articles
[sw09508]
 include: sparse PLSDiscriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...

Pyglrm
 Referenced in 30 articles
[sw27003]
 models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...

RMMEDA
 Referenced in 35 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

Survey
 Referenced in 50 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 32 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...

compositions
 Referenced in 23 articles
[sw00150]
 statistics and plots (ternary diagrams, boxplots), principal component analysis (using biplots), cluster analysis with Aitchison...

missMDA
 Referenced in 16 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...

shapes
 Referenced in 16 articles
[sw14500]
 shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thinplate...