For any given point, find a set of reference points, for example the nearest neighbors. Using a subset of the features, create a hyperplane along which the variance of the reference points is high.

Abstract: Outlier analysis is an important data mining task that aims to detect unexpected, rare, and suspicious objects. Outlier ranking enables enhanced outlier exploration, which assists the ...

Abstract: Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods score each ...