| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.distance.distancefunction | 
 Distance functions for use within ELKI. 
 | 
| de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | 
 Distance functions using correlations 
 | 
| de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski | 
 Minkowski space Lp norms such as the popular Euclidean and
 Manhattan distances. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
WeightedCanberraDistanceFunction
Weighted Canberra distance function, a variation of Manhattan distance. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
WeightedPearsonCorrelationDistanceFunction
Pearson correlation distance function for feature vectors. 
 | 
class  | 
WeightedSquaredPearsonCorrelationDistanceFunction
Weighted squared Pearson correlation distance function for feature vectors. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
WeightedEuclideanDistanceFunction
Weighted Euclidean distance for  
NumberVectors. | 
class  | 
WeightedLPNormDistanceFunction
Weighted version of the Minkowski Lp norm distance for
  
NumberVector. | 
class  | 
WeightedManhattanDistanceFunction
Weighted version of the Manhattan (L1) metric. 
 | 
class  | 
WeightedMaximumDistanceFunction
Weighted version of the maximum distance function for
  
NumberVectors. | 
class  | 
WeightedSquaredEuclideanDistanceFunction
Weighted squared Euclidean distance for  
NumberVectors. | 
Copyright © 2019 ELKI Development Team. License information.