Description Usage Arguments Details Value References See Also Examples

Takes a vector of observations and return a teda batch object, which holds the eccentricity and typicality values, both original and normalised versions.

1 | ```
teda_b(observations, dist_type = "Euclidean")
``` |

`observations` |
A vector of numeric observations |

`dist_type` |
A string representing the distance metric to use, default value (and currently only supported value) is "Euclidean" |

Uses the algorithm from Angelov (2014) to create a teda batch object. This contains a vector for the eccentricity (standard and normalised), typicality (standard and normalised), the outlier threshold, and whether each observation is or is not an outlier. Also provides the original vector of values.

The teda batch object

Angelov, P., 2014. Outside the box: an alternative data analytics framework. Journal of Automation Mobile Robotics and Intelligent Systems, 8(2), pp.29-35. DOI: 10.14313/JAMRIS_2-2014/16

`teda_r`

for the recursive version of the TEDA framework.

Other TEDA.functions: `teda_r`

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