• 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...
  • PCA-SIFT

  • 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, MCD-regression), Principal Component Analysis (RAPCA, ROBPCA), Principal Component Regression (RPCR...
  • RM-MEDA

  • 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]
  • many-dimensional data arrays is described. Principal component analysis and three-way PARAFAC factor analysis...
  • mixOmics

  • Referenced in 29 articles [sw09508]
  • include: sparse PLS-Discriminant 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...