
CGAL
 Referenced in 269 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...

SuLQ
 Referenced in 111 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...

PMA
 Referenced in 56 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...

PCASIFT
 Referenced in 65 articles
[sw04592]
 smoothed weighted histograms, we apply Principal Components Analysis (PCA) to the normalized gradient patch...

KPCA plus LDA
 Referenced in 62 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...

ROBPCA
 Referenced in 42 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 42 articles
[sw00885]
 symbolic description of groups, factorial discriminant analysis, principal component analysis, histograms and elementary statistics, segmentation...

Eigentaste
 Referenced in 47 articles
[sw12451]
 common set of items and applies Principal Component Analysis (PCA) to the resulting dense subset...

LIBRA
 Referenced in 22 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...

Multilinear Engine
 Referenced in 24 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...

Survey
 Referenced in 31 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...

RMMEDA
 Referenced in 20 articles
[sw08554]
 piecewise continuous manifold. The local principal component analysis algorithm is used for building such...

Statistics Toolbox
 Referenced in 15 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...

refund
 Referenced in 21 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...

compositions
 Referenced in 9 articles
[sw00150]
 statistics and plots (ternary diagrams, boxplots), principal component analysis (using biplots), cluster analysis with Aitchison...

mixOmics
 Referenced in 7 articles
[sw09508]
 include: sparse PLSDiscriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition...

missMDA
 Referenced in 6 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...

ADE4
 Referenced in 4 articles
[sw14077]
 include usual onetable methods like principal component analysis and correspondence analysis, spatial data analysis ... local and global components, analogous to Moran and Geary indices), discriminant analysis and within/between groups ... principal component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis...

phytools
 Referenced in 6 articles
[sw10003]
 Bayesian posterior sample); conducting an analysis called stochastic character mapping, in which character histories ... response variables; conducting a phylogenetic principal components analysis, a phylogenetic regression, a reduced major axis...

mdp
 Referenced in 6 articles
[sw14129]
 increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis...