• LOF

  • Referenced in 109 articles [sw19311]
  • This degree is called the local outlier factor (LOF) of an object. It is local ... that LOF can be used to find outliers which appear to be meaningful...
  • dbscan

  • Referenced in 13 articles [sw16291]
  • clustering algorithms and the LOF (local outlier factor) algorithm. The implementations uses the kd-tree...
  • Rlof

  • Referenced in 2 articles [sw07332]
  • Rlof: R parallel implementation of Local Outlier Factor(LOF) R parallel implementation of Local Outlier...
  • MARSS

  • Referenced in 3 articles [sw23275]
  • calculation of auxiliary residuals for detecting outliers and shocks. The user guide shows examples ... variety of applications, model selection, dynamic factor analysis, outlier and shock detection, and addition...
  • robCompositions

  • Referenced in 17 articles [sw11804]
  • outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis...
  • BLINWDR

  • Referenced in 3 articles [sw27839]
  • should bound the influence of outliers in the factor space. It combines these sophisticated methods...
  • FPDclustering

  • Referenced in 3 articles [sw15462]
  • package FPDclustering: PD-Clustering and Factor PD-Clustering. Probabilistic distance clustering (PD-clustering ... clusters, outliers, or noisy data. Facto PD-clustering (FPDC) is a recently proposed factor clustering...
  • outliernmf

  • Referenced in 2 articles [sw18395]
  • often becomes difficult to separate the outliers from the natural variations in the patterns ... this paper, we present a matrix factorization method, which is naturally able to distinguish ... significant advantages over traditional methods for text outlier detection. Finally, we present experimental results illustrating...
  • wbacon

  • Referenced in 1 article [sw38776]
  • regression. Béguin and Hulliger (2008) extended the outlier detection method to weighted and incomplete data ... /downdating scheme for the Cholesky and QR factorizations. The computational costs of up-/downdating...
  • Morpho-MNIST

  • Referenced in 1 article [sw31838]
  • model learned to represent specific factors of variation in the data? We extend the popular ... supervised methods on challenging tasks such as outlier detection and domain adaptation. Data and code...
  • DEA

  • Referenced in 246 articles [sw00194]
  • Data Envelopment Analysis (DEA) is becoming an increasingly...
  • EViews

  • Referenced in 39 articles [sw00254]
  • Eviews supports general statistical analysis and econometric analyses...
  • GAUSS

  • Referenced in 120 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • GGobi

  • Referenced in 49 articles [sw00345]
  • GGobi is an open source visualization program for...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Maple

  • Referenced in 5403 articles [sw00545]
  • The result of over 30 years of cutting...
  • MapReduce

  • Referenced in 267 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 315 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...