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 outlier detection methods including statistical distribution-based, distance-based, and density-based approaches. Statistical distribution-based outlier detection assumes a distribution for the data and identifies outliers using discordancy testing based on that distribution. Distance-based outlier detection identifies outliers based on the fract
- Author
- niyati25
- Language
- EN