An Implementation of the Typicality and Eccentricity Data
Analysis Framework
The typicality and eccentricity data analysis (TEDA) framework was
put forward by Angelov (2013) . It has been further developed into multiple
different techniques since, and provides a non-parametric way of determining how
similar an observation, from a process that is not purely random, is to other
observations generated by the process. This package provides code to use the
batch and recursive TEDA methods that have been published.