Dimension Reduction for Outlier Detection

A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2019) .


Reference manual

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1.0.2 by Sevvandi Kandanaarachchi, a year ago


Browse source code at https://github.com/cran/dobin

Authors: Sevvandi Kandanaarachchi [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports pracma, RANN

Suggests knitr, rmarkdown, OutliersO3, ggplot2, FNN

Imported by composits.

See at CRAN