Abstract
This article introduces DOBIN, a new approach to select a set of basis vectors tailored for outlier detection. DOBIN has a simple mathematical foundation and can be used as a dimension reduction tool for outlier detection tasks. We demonstrate the effectiveness of DOBIN on an extensive data repository, by comparing the performance of outlier detection methods using DOBIN and other bases. We further illustrate the utility of DOBIN as an outlier visualization tool. The R package dobin implements this basis construction. Supplementary materials for this article are available online.
Original language | English |
---|---|
Pages (from-to) | 204-219 |
Number of pages | 16 |
Journal | Journal of Computational and Graphical Statistics |
Volume | 31 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Basis vectors
- Dimension reduction
- Outlier detection
- Outlier visualization