
LOF
 Referenced in 95 articles
[sw19311]
 Identifying densitybased local outliers. For many KDD applications, such as detecting criminal activities ... commerce, finding the rare instances or the outliers, can be more interesting than finding ... common patterns. Existing work in outlier detection regards being an outlier as a binary property ... each object a degree of being an outlier. This degree is called the local outlier...

ROBPCA
 Referenced in 68 articles
[sw11592]
 diagnostic plot that displays and classifies the outliers. We apply the algorithm to several datasets...

Orca
 Referenced in 33 articles
[sw32638]
 Orca: A Program for Mining DistanceBased Outliers. Orca is a program for mining outliers ... large multivariate data sets. An outlier is an example that is substantially different from ... reminder of the data. An outlier may have values for an attribute that are unusually ... rarely seen together. Orca mines distancebased outliers. That is, Orca uses the distance from...

mvBACON
 Referenced in 28 articles
[sw36501]
 BACON: blocked adaptive computationally efficient outlier nominators. Although it is customary to assume that data ... homogeneous, in fact, they often contain outliers or subgroups. Methods for identifying multiple outliers ... sophisticated methods, the computation cost often makes outlier detection unattractive. All multiple outlier detection methods ... this paper (algorithms for the detection of outliers in multivariate and regression data). The algorithms...

LIBRA
 Referenced in 28 articles
[sw10553]
 robust procedures. These methods are resistant to outliers in the data. Currently, the library contains ... Squares Regression (RSIMPLS), classification (RDA, RSIMCA), clustering, outlier detection for skewed data (including the bagplot ... tools are provided for model checking and outlier detection. Most of the functions require...

MOA
 Referenced in 42 articles
[sw11966]
 machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems...

Rainbow
 Referenced in 35 articles
[sw01263]
 data sets for functional data display and outlier detection...

MixSim
 Referenced in 34 articles
[sw07914]
 simulating Gaussian and nonGaussian data, simulating outliers and noise variables, calculating various measures...

TRAMO
 Referenced in 25 articles
[sw24172]
 Regression with ARlMA Noise, Missing Observations, and Outliers...

GET
 Referenced in 21 articles
[sw35164]
 regions of functional or multivariate data (e.g. outlier detection, functional boxplot) and for global confidence...

wwcode
 Referenced in 19 articles
[sw26044]
 data deviate from normality and/or contain outliers. These procedures can be generalized by introducing weights...

tlmec
 Referenced in 13 articles
[sw11119]
 errors, such assumptions make inferences vulnerable to outliers. The sensitivity to outliers and the need...

FSDA
 Referenced in 18 articles
[sw11737]
 pharmaceutical problems, where the presence of outliers, multiple groups, deviations from normality and other complex...

MVN
 Referenced in 18 articles
[sw20752]
 tests and graphical approaches and implements multivariate outlier detection and univariate normality of marginal distributions...

Sheppack
 Referenced in 15 articles
[sw07352]
 when the data is known to contain outliers. SHEPPACK also includes a hybrid robust piecewise...

FMS
 Referenced in 10 articles
[sw31728]
 space, and a possibly large portion of outliers that do not lie nearby this subspace ... theorem holds for any fixed fraction of outliers (less than 1) and any fixed positive...

PCL
 Referenced in 14 articles
[sw22770]
 used, for example, to filter outliers from noisy data, stitch 3D point clouds together, segment...

SLOM
 Referenced in 7 articles
[sw36331]
 SLOM: a new measure for local spatial outliers. We propose a measure, spatial local outlier ... able to discern local spatial outliers that are usually missed by global techniques, like “three ... data point and suppresses the reporting of outliers in highly unstable areas, where data ... heterogeneous and the notion of outliers is not meaningful. We prove several properties of SLOM...

robCompositions
 Referenced in 13 articles
[sw11804]
 methods, methods to impute rounded zeros, (robust) outlier detection for compositional data, (robust) principal component...

ELKI
 Referenced in 13 articles
[sw30860]
 unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance...