
CGAL
 Referenced in 360 articles
[sw00118]
 spheres, smallest enclosing ellipsoid of points, principal component analysis), and kinetic data structures. All these...

PMA
 Referenced in 109 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 122 articles
[sw11355]
 very few invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...

ROBPCA
 Referenced in 67 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...

refund
 Referenced in 53 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...

PCASIFT
 Referenced in 78 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...

SODAS
 Referenced in 65 articles
[sw00885]
 description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation tree...

softImpute
 Referenced in 63 articles
[sw12263]
 large sparse centered matrices (i.e. principal components...

Eigentaste
 Referenced in 59 articles
[sw12451]
 common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

Eigenstrat
 Referenced in 53 articles
[sw33845]
 EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls...

Survey
 Referenced in 49 articles
[sw08163]
 direct standardization. PPS sampling without replacement. Principal components, factor analysis...

pls
 Referenced in 29 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...

freqdom.fda
 Referenced in 25 articles
[sw36344]
 freqdom.fda: Functional Time Series: Dynamic Functional Principal Components. Implementations of functional dynamic principle components analysis ... These methods directly use multivariate dynamic principal components implementation, following the guidelines from Hormann, Kidzinski ... Hallin (2016), Dynamic Functional Principal Component

MNM
 Referenced in 40 articles
[sw06075]
 estimation and testing, linear regression and principal components...

LIBRA
 Referenced in 27 articles
[sw10553]
 estimation (MCD), regression (LTS, MCDregression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...

RMMEDA
 Referenced in 30 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

Multilinear Engine
 Referenced in 30 articles
[sw14430]
 manydimensional data arrays is described. Principal component analysis and threeway PARAFAC factor analysis...

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

LowRankModels
 Referenced in 25 articles
[sw27002]
 models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative...