Perform outlier detection more effectively using subsets of features
Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection on tabular data W Brett Kennedy · Follow Published in Towards Data Science · 28 min read · 4 hours ago — This article is part of a series related to the challenges, and the techniques that may be used, to best identify outliers in data, including articles related to using PCA, Distance Metric Learning, Shared Nearest Neighbors, Frequent Patterns