
CGAL
 Referenced in 344 articles
[sw00118]
 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 ... matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics...

SuLQ
 Referenced in 120 articles
[sw11355]
 very few invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...

ROBPCA
 Referenced in 58 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...

PCASIFT
 Referenced in 77 articles
[sw04592]
 feature detection and representation is a fundamental component of many image registration and object recognition ... smoothed weighted histograms, we apply Principal Components Analysis (PCA) to the normalized gradient patch...

KPCA plus LDA
 Referenced in 69 articles
[sw08766]
 phase KFD framework, i.e., kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis...

refund
 Referenced in 39 articles
[sw07434]
 confidence bands for functional data using principal components. Functional principal components (FPC) analysis is widely ... implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably...

SODAS
 Referenced in 57 articles
[sw00885]
 description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation tree...

Eigentaste
 Referenced in 57 articles
[sw12451]
 common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

softImpute
 Referenced in 55 articles
[sw12263]
 large sparse centered matrices (i.e. principal components...

Eigenstrat
 Referenced in 50 articles
[sw33845]
 EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls...

Survey
 Referenced in 45 articles
[sw08163]
 direct standardization. PPS sampling without replacement. Principal components, factor analysis...

LIBRA
 Referenced in 26 articles
[sw10553]
 estimation (MCD), regression (LTS, MCDregression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...

pls
 Referenced in 26 articles
[sw04365]
 package pls: Partial Least Squares and Principal Component regression , Multivariate regression methods Partial Least Squares ... Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS...

MNM
 Referenced in 35 articles
[sw06075]
 estimation and testing, linear regression and principal components...

Multilinear Engine
 Referenced in 28 articles
[sw14430]
 manydimensional data arrays is described. Principal component analysis and threeway PARAFAC factor analysis...

RMMEDA
 Referenced in 24 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

mixOmics
 Referenced in 22 articles
[sw09508]
 include: sparse PLSDiscriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...

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

LowRankModels
 Referenced in 19 articles
[sw27002]
 models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...