
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 kdtree...

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: PDClustering and Factor PDClustering. Probabilistic distance clustering (PDclustering ... clusters, outliers, or noisy data. Facto PDclustering (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...

MorphoMNIST
 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 highlevel language and interactive...

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