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

java.lang.Object
- elki.outlier.distance.LocalIsolationCoefficient<O>

Type Parameters:

O - the type of objects handled by this algorithm

All Implemented Interfaces:

Algorithm, OutlierAlgorithm
```
@Reference(authors="B. Yu, M. Song, L. Wang",
           title="Local Isolation Coefficient-Based Outlier Mining Algorithm",
           booktitle="Int. Conf. on Information Technology and Computer Science (ITCS) 2009",
           url="https://doi.org/10.1109/ITCS.2009.230",
           bibkey="doi:10.1109/ITCS.2009.230")
public class LocalIsolationCoefficient<O>
extends java.lang.Object
implements OutlierAlgorithm
```
The Local Isolation Coefficient is the sum of the kNN distance and the average distance to its k nearest neighbors.
The algorithm originally used a normalized Manhattan distance on numerical attributes, and Hamming distance on categorial attributes.
Reference:
B. Yu, M. Song, L. Wang
Local Isolation Coefficient-Based Outlier Mining Algorithm
Int. Conf. on Information Technology and Computer Science (ITCS) 2009

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class LocalIsolationCoefficient.Par<O>
Parameterization class.
- Nested classes/interfaces inherited from interface elki.Algorithm
  Algorithm.Utils

Field Summary

Fields
Modifier and Type	Field	Description
`protected Distance<? super O>`	`distance`	Distance function used.
`private int`	`kplus`	Holds the number of nearest neighbors to query (plus the query point!)
`private static Logging`	`LOG`	The logger for this class.

Constructor Summary

Constructors
Constructor Description

LocalIsolationCoefficient(Distance<? super O> distance, int k)
Constructor with parameters.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`TypeInformation[]`	`getInputTypeRestriction()`	Get the input type restriction used for negotiating the data query.
`OutlierResult`	`run(Relation<O> relation)`	Runs the algorithm in the timed evaluation part.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface elki.outlier.OutlierAlgorithm
autorun

- Field Detail
  - LOG
```
private static final Logging LOG
```
    The logger for this class.
  - kplus
```
private int kplus
```
    Holds the number of nearest neighbors to query (plus the query point!)
  - distance
```
protected Distance<? super O> distance
```
    Distance function used.
- Constructor Detail
  - LocalIsolationCoefficient
```
public LocalIsolationCoefficient(Distance<? super O> distance,
                                 int k)
```
    Constructor with parameters.
    
    Parameters:
    
    distance - Distance function
    
    k - k Parameter (not including query point!)
- Method Detail
  - getInputTypeRestriction
```
public TypeInformation[] getInputTypeRestriction()
```
    Description copied from interface: Algorithm
    
    Get the input type restriction used for negotiating the data query.
    
    Specified by:
    
    getInputTypeRestriction in interface Algorithm
    
    Returns:
    
    Type restriction
  - run
```
public OutlierResult run(Relation<O> relation)
```
    Runs the algorithm in the timed evaluation part.
    
    Parameters:
    
    relation - Data relation