About this document
Understanding Outliers and Detection Methods by niyati25 is a document available to read on EtoBox.
Outliers are data objects that do not comply with the general behavior or model of the data. They can be caused by errors and may be of interest. There are several methods to detect outliers including statistical distribution-based, distance-based, density-based, and deviation-based approaches. Statistical distribution-based outlier detection assumes a distribution for the data and identifies outliers with respect to the model using discordancy testing.
- Author
- niyati25
- Language
- EN