A Collection of Outlier Ensemble Algorithms
Uses the mean as the ensemble score
Computes an ensemble score using the greedy algorithm proposed by Schu...
Computes an ensemble score using inverse cluster weighted averaging me...
Computes an ensemble score using Item Response Theory
Computes an ensemble score using the maximum score of each observation
Computes an ensemble score by aggregating values above the mean
Ensemble functions for outlier/anomaly detection. There is a new ensemble method proposed using Item Response Theory. Existing outlier ensemble methods from Schubert et al (2012) <doi:10.1137/1.9781611972825.90>, Chiang et al (2017) <doi:10.1016/j.jal.2016.12.002> and Aggarwal and Sathe (2015) <doi:10.1145/2830544.2830549> are also included.