Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective

no code implementations • 18 Sep 2016 • Shebuti Rayana, Wen Zhong, Leman Akoglu

In this work, we design a new ensemble approach for outlier detection in multi-dimensional point data, which provides improved accuracy by reducing error through both bias and variance.

Binary Classification Clustering +3