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

All Known Implementing Classes:

DiameterCriterion, EuclideanDistanceCriterion, RadiusCriterion
```
public interface BIRCHAbsorptionCriterion
```
BIRCH absorption criterion.

Since:

0.7.5

Author:

Erich Schubert

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`squaredCriterion(ClusteringFeature f1, ClusteringFeature f2)`	Quality when merging two CFs.
`double`	`squaredCriterion(ClusteringFeature f1, NumberVector n)`	Quality of a CF when adding a data point

- Method Detail
  - squaredCriterion
```
double squaredCriterion(ClusteringFeature f1,
                        NumberVector n)
```
    Quality of a CF when adding a data point
    
    Parameters:
    
    f1 - Clustering feature
    
    n - Data point
    
    Returns:
    
    Quality
  - squaredCriterion
```
double squaredCriterion(ClusteringFeature f1,
                        ClusteringFeature f2)
```
    Quality when merging two CFs.
    
    Parameters:
    
    f1 - First clustering feature
    
    f2 - Second clustering feature
    
    Returns:
    
    Quality