diff --git a/README.rst b/README.rst index 997dc7058..8f3e59678 100644 --- a/README.rst +++ b/README.rst @@ -128,6 +128,7 @@ Linear Model MCD Minimum Covariance Determinant (use the m Linear Model OCSVM One-Class Support Vector Machines 2003 [#Ma2003Time]_ `[PDFc] `_ Proximity-Based LOF Local Outlier Factor 2000 [#Breunig2000LOF]_ Proximity-Based CBLOF Clustering-Based Local Outlier Factor 2003 [#He2003Discovering]_ +Proximity-Based LOCI LOCI: Fast outlier detection using the local correlation integral 2003 [#Papadimitriou2003LOCI]_ Proximity-Based HBOS Histogram-based Outlier Score 2012 [#Goldstein2012Histogram]_ Proximity-Based kNN k Nearest Neighbors (use the distance to the kth nearest neighbor as the outlier score 2000 [#Ramaswamy2000Efficient]_ Proximity-Based AvgKNN Average kNN (use the average distance to k nearest neighbors as the outlier score) 2002 [#Angiulli2002Fast]_ @@ -488,6 +489,8 @@ Reference .. [#Ma2003Time] Ma, J. and Perkins, S., 2003, July. Time-series novelty detection using one-class support vector machines. In *IJCNN' 03*\ , pp. 1741-1745. IEEE. +.. [#Papadimitriou2003LOCI] Papadimitriou, S., Kitagawa, H., Gibbons, P.B. and Faloutsos, C., 2003, March. LOCI: Fast outlier detection using the local correlation integral. In *ICDE '03*, pp. 315-326. IEEE. + .. [#Ramaswamy2000Efficient] Ramaswamy, S., Rastogi, R. and Shim, K., 2000, May. Efficient algorithms for mining outliers from large data sets. *ACM Sigmod Record*\ , 29(2), pp. 427-438). .. [#Rousseeuw1999A] Rousseeuw, P.J. and Driessen, K.V., 1999. A fast algorithm for the minimum covariance determinant estimator. *Technometrics*\ , 41(3), pp.212-223. diff --git a/docs/index.rst b/docs/index.rst index 256c58d2e..d00fca9f3 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -126,13 +126,15 @@ detection utility functions. i. **LOF: Local Outlier Factor** :cite:`a-breunig2000lof`: :class:`pyod.models.lof.LOF` ii. **CBLOF: Clustering-Based Local Outlier Factor** :cite:`a-he2003discovering`: :class:`pyod.models.cblof.CBLOF` - iii. **kNN: k Nearest Neighbors** (use the distance to the kth nearest - neighbor as the outlier score) :cite:`a-ramaswamy2000efficient,a-angiulli2002fast`: :class:`pyod.models.knn.KNN` - iv. **Average kNN** (use the average distance to k nearest neighbors as + iii. **LOCI: Local Correlation Integral** :cite:`a-papadimitriou2003loci`: :class:`pyod.models.loci.LOCI` + iv. **kNN: k Nearest Neighbors** (use the distance to the kth nearest + neighbor as the outlier score) :cite:`a-ramaswamy2000efficient,a-angiulli2002fast`: :class:`pyod.models.knn.KNN` + v. **Average kNN** (use the average distance to k nearest neighbors as the outlier score): :class:`pyod.models.knn.KNN` - v. **Median kNN** (use the median distance to k nearest neighbors - as the outlier score): :class:`pyod.models.knn.KNN` - vi. **HBOS: Histogram-based Outlier Score** :cite:`a-goldstein2012histogram`: :class:`pyod.models.hbos.HBOS` + vi. **Median kNN** (use the median distance to k nearest neighbors + as the outlier score): :class:`pyod.models.knn.KNN` + vii. **HBOS: Histogram-based Outlier Score** :cite:`a-goldstein2012histogram`: :class:`pyod.models.hbos.HBOS` + 3. Probabilistic Models for Outlier Detection: diff --git a/docs/pyod.models.rst b/docs/pyod.models.rst index 7444786a8..b226509ad 100644 --- a/docs/pyod.models.rst +++ b/docs/pyod.models.rst @@ -49,19 +49,19 @@ pyod.models.combination module :show-inheritance: :inherited-members: -pyod.models.hbos module ------------------------ +pyod.models.feature\_bagging module +----------------------------------- -.. automodule:: pyod.models.hbos +.. automodule:: pyod.models.feature_bagging :members: :undoc-members: :show-inheritance: :inherited-members: -pyod.models.feature\_bagging module ------------------------------------ +pyod.models.hbos module +----------------------- -.. automodule:: pyod.models.feature_bagging +.. automodule:: pyod.models.hbos :members: :undoc-members: :show-inheritance: @@ -96,6 +96,15 @@ pyod.models.lof module :show-inheritance: :inherited-members: +pyod.models.loci module +----------------------- + +.. automodule:: pyod.models.loci + :members: + :undoc-members: + :show-inheritance: + :inherited-members: + pyod.models.mcd module ----------------------