• LOF

  • Referenced in 93 articles [sw19311]
  • Identifying density-based 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 32 articles [sw32638]
  • Orca: A Program for Mining Distance-Based 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 distance-based 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 non-Gaussian data, simulating outliers and noise variables, calculating various measures...
  • TRAMO

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

  • Referenced in 15 articles [sw35164]
  • regions of functional or multivariate data (e.g. outlier detection, functional boxplot) and for global confidence...
  • 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...
  • 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...
  • outliers

  • Referenced in 7 articles [sw07333]
  • package outliers: Tests for outliers. A collection of some tests commonly used for identifying outliers...