OutlierScoreMeta (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

All Known Implementing Classes:

BasicOutlierScoreMeta, InvertedOutlierScoreMeta, ProbabilisticOutlierScore, QuotientOutlierScoreMeta
```
public interface OutlierScoreMeta
```
Generic meta information about the value range of an outlier score. All values can be Double.NaN if not specified by the algorithm or not computed (actual values). For theoretical values, it is explicitly allowed to return Double.NEGATIVE_INFINITY or Double.POSITIVE_INFINITY.

Since:

0.3

Author:

Erich Schubert

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`getActualMaximum()`	Get the actual maximum of the value range.
`double`	`getActualMinimum()`	Get the actual minimum of the value range.
`double`	`getTheoreticalBaseline()`	Get the theoretical baseline of the value range.
`double`	`getTheoreticalMaximum()`	Get the theoretical maximum of the value range.
`double`	`getTheoreticalMinimum()`	Get the theoretical minimum of the value range.
`double`	`normalizeScore(double value)`	Return a normalized value of the outlier score.

- Method Detail
  - getActualMinimum
```
double getActualMinimum()
```
    Get the actual minimum of the value range.
    
    Returns:
    
    minimum or Double.NaN
  - getActualMaximum
```
double getActualMaximum()
```
    Get the actual maximum of the value range.
    
    Returns:
    
    maximum or Double.NaN
  - getTheoreticalMinimum
```
double getTheoreticalMinimum()
```
    Get the theoretical minimum of the value range.
    
    Returns:
    
    theoretical minimum or Double.NaN
  - getTheoreticalMaximum
```
double getTheoreticalMaximum()
```
    Get the theoretical maximum of the value range. This value may be Double.NEGATIVE_INFINITY or Double.NaN.
    
    Returns:
    
    theoretical maximum or Double.NaN
  - getTheoreticalBaseline
```
double getTheoreticalBaseline()
```
    Get the theoretical baseline of the value range. It will be common to see Double.POSITIVE_INFINITY here.
    
    Returns:
    
    theoretical baseline or Double.NaN
  - normalizeScore
```
double normalizeScore(double value)
```
    Return a normalized value of the outlier score.
    
    Parameters:
    
    value - outlier score
    
    Returns:
    
    Normalized value (in 0.0-1.0)